SECOND HOMEWORK: Supervised learning

Bachelor in Data Science and Engineering

FIRST SEP: loading the libraries

Firstly, we clean the workspace and load all of the libraries we are going to need for the supervised learning.

rm(list = ls())

library(tidyverse)
library(naniar)
library(mice)
library(VIM)
library(ggplot2)
library(GGally)
library(Amelia)
library(hexbin)
library(RColorBrewer)
library(MASS)
library(caret)
library(pROC)
library(naivebayes)
library(e1071)
library(caret)
library(glmnet)
library(rpart)
library(rpart.plot)
library(randomForest)
library(gbm)
library(leaps)
library(leaflet)
library(olsrr)
library(mltools)
library(jtools)
library(elasticnet)
library(glmnet)
library(class)
library(parallel)

Introduction

setwd("~/UC3M/2nd year/statistical learning/archive2")

data = read.csv("Levels_Fyi_Salary_Data.csv") 
head(data)

##            timestamp   company level                        title
## 1  6/7/2017 11:33:27    Oracle    L3              Product Manager
## 2 6/10/2017 17:11:29      eBay  SE 2            Software Engineer
## 3 6/11/2017 14:53:57    Amazon    L7              Product Manager
## 4  6/17/2017 0:23:14     Apple    M1 Software Engineering Manager
## 5 6/20/2017 10:58:51 Microsoft    60            Software Engineer
## 6 6/21/2017 17:27:47 Microsoft    63            Software Engineer
##   totalyearlycompensation          location yearsofexperience yearsatcompany
## 1                  127000  Redwood City, CA               1.5            1.5
## 2                  100000 San Francisco, CA               5.0            3.0
## 3                  310000       Seattle, WA               8.0            0.0
## 4                  372000     Sunnyvale, CA               7.0            5.0
## 5                  157000 Mountain View, CA               5.0            3.0
## 6                  208000       Seattle, WA               8.5            8.5
##    tag basesalary stockgrantvalue bonus gender otherdetails cityid dmaid
## 1 <NA>     107000           20000 10000   <NA>         <NA>   7392   807
## 2 <NA>          0               0     0   <NA>         <NA>   7419   807
## 3 <NA>     155000               0     0   <NA>         <NA>  11527   819
## 4 <NA>     157000          180000 35000   <NA>         <NA>   7472   807
## 5 <NA>          0               0     0   <NA>         <NA>   7322   807
## 6 <NA>          0               0     0   <NA>         <NA>  11527   819
##   rowNumber Masters_Degree Bachelors_Degree Doctorate_Degree Highschool
## 1         1              0                0                0          0
## 2         2              0                0                0          0
## 3         3              0                0                0          0
## 4         7              0                0                0          0
## 5         9              0                0                0          0
## 6        11              0                0                0          0
##   Some_College Race_Asian Race_White Race_Two_Or_More Race_Black Race_Hispanic
## 1            0          0          0                0          0             0
## 2            0          0          0                0          0             0
## 3            0          0          0                0          0             0
## 4            0          0          0                0          0             0
## 5            0          0          0                0          0             0
## 6            0          0          0                0          0             0
##   Race Education
## 1 <NA>      <NA>
## 2 <NA>      <NA>
## 3 <NA>      <NA>
## 4 <NA>      <NA>
## 5 <NA>      <NA>
## 6 <NA>      <NA>

Our dataset for this project,Levels_Fyi_Salary_Data, is about the salary records of top companies. Basically, we have a lot of variables that are in those companies’ datasets where we can see that is not only up to ourselves to have a better salary, it has a lot of other factors that play the part, such as our soft skills, if our level of studies, etc. You can download it from this link: click here

Our goal in this project is to predict the total salary

head(data)

##            timestamp   company level                        title
## 1  6/7/2017 11:33:27    Oracle    L3              Product Manager
## 2 6/10/2017 17:11:29      eBay  SE 2            Software Engineer
## 3 6/11/2017 14:53:57    Amazon    L7              Product Manager
## 4  6/17/2017 0:23:14     Apple    M1 Software Engineering Manager
## 5 6/20/2017 10:58:51 Microsoft    60            Software Engineer
## 6 6/21/2017 17:27:47 Microsoft    63            Software Engineer
##   totalyearlycompensation          location yearsofexperience yearsatcompany
## 1                  127000  Redwood City, CA               1.5            1.5
## 2                  100000 San Francisco, CA               5.0            3.0
## 3                  310000       Seattle, WA               8.0            0.0
## 4                  372000     Sunnyvale, CA               7.0            5.0
## 5                  157000 Mountain View, CA               5.0            3.0
## 6                  208000       Seattle, WA               8.5            8.5
##    tag basesalary stockgrantvalue bonus gender otherdetails cityid dmaid
## 1 <NA>     107000           20000 10000   <NA>         <NA>   7392   807
## 2 <NA>          0               0     0   <NA>         <NA>   7419   807
## 3 <NA>     155000               0     0   <NA>         <NA>  11527   819
## 4 <NA>     157000          180000 35000   <NA>         <NA>   7472   807
## 5 <NA>          0               0     0   <NA>         <NA>   7322   807
## 6 <NA>          0               0     0   <NA>         <NA>  11527   819
##   rowNumber Masters_Degree Bachelors_Degree Doctorate_Degree Highschool
## 1         1              0                0                0          0
## 2         2              0                0                0          0
## 3         3              0                0                0          0
## 4         7              0                0                0          0
## 5         9              0                0                0          0
## 6        11              0                0                0          0
##   Some_College Race_Asian Race_White Race_Two_Or_More Race_Black Race_Hispanic
## 1            0          0          0                0          0             0
## 2            0          0          0                0          0             0
## 3            0          0          0                0          0             0
## 4            0          0          0                0          0             0
## 5            0          0          0                0          0             0
## 6            0          0          0                0          0             0
##   Race Education
## 1 <NA>      <NA>
## 2 <NA>      <NA>
## 3 <NA>      <NA>
## 4 <NA>      <NA>
## 5 <NA>      <NA>
## 6 <NA>      <NA>

The database:

The features in the database are the following (they are mostly self-explanatory): * timestamp: the exact time the data was stored in date format.

• company: the name of the company.

• level: the scale of importance of the job.

• title: the position a certain person has in the team/company.

• totalyearlycompensation: total salary in dollars per year.

• location: where the person works.

• yearsofexperience: the years of experience the person has.

• yearsatcompany: the years at the company the person has been in.

• tag: specialization of the person’s work.

• basesalary: remuneration in dollars and anually without variables.

• stockgrantvalue: he price an employee must pay the company for shares purchased when exercising option.

• bonus: variable remuneration that a person may have.

• gender: the gender of the person.

• otherdetails: extra information.

• cityid: the id of the city where the person works at.

• Masters_degree: number of master’s degrees per person.

• Bachelors_degree: number of bachelor’s degrees per person.

• Doctorate_degree: number of doctorates per person.

• Highschool: if highschool was the person’s last formative expercience.

• Race_Asian: 1 for Asian, 0 if not.

• Race_White: 1 for White, 0 if not.

• Race_Black: 1 for black, 0 if not.

• Race_Hispanic: 1 for hispanic, 0 if not.

• Race_Two_or_more: 1 if they are mixed race, 0 if not.

• Race: categorical variable to indicate the person’s race (summing up Race_Asian, Race_Black, etc).

• Education: categorical variable to indicate the level of education or last formative experience (summing up Highschool, Bachelors_degree, etc).

str(data)

## 'data.frame':    62642 obs. of  29 variables:
##  $ timestamp              : chr  "6/7/2017 11:33:27" "6/10/2017 17:11:29" "6/11/2017 14:53:57" "6/17/2017 0:23:14" ...
##  $ company                : chr  "Oracle" "eBay" "Amazon" "Apple" ...
##  $ level                  : chr  "L3" "SE 2" "L7" "M1" ...
##  $ title                  : chr  "Product Manager" "Software Engineer" "Product Manager" "Software Engineering Manager" ...
##  $ totalyearlycompensation: int  127000 100000 310000 372000 157000 208000 300000 156000 120000 201000 ...
##  $ location               : chr  "Redwood City, CA" "San Francisco, CA" "Seattle, WA" "Sunnyvale, CA" ...
##  $ yearsofexperience      : num  1.5 5 8 7 5 8.5 15 4 3 12 ...
##  $ yearsatcompany         : num  1.5 3 0 5 3 8.5 11 4 1 6 ...
##  $ tag                    : chr  NA NA NA NA ...
##  $ basesalary             : num  107000 0 155000 157000 0 0 180000 135000 0 157000 ...
##  $ stockgrantvalue        : num  20000 0 0 180000 0 0 65000 8000 0 26000 ...
##  $ bonus                  : num  10000 0 0 35000 0 0 55000 13000 0 28000 ...
##  $ gender                 : chr  NA NA NA NA ...
##  $ otherdetails           : chr  NA NA NA NA ...
##  $ cityid                 : int  7392 7419 11527 7472 7322 11527 11521 11527 11521 11527 ...
##  $ dmaid                  : int  807 807 819 807 807 819 819 819 819 819 ...
##  $ rowNumber              : int  1 2 3 7 9 11 12 13 15 16 ...
##  $ Masters_Degree         : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Bachelors_Degree       : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Doctorate_Degree       : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Highschool             : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Some_College           : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race_Asian             : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race_White             : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race_Two_Or_More       : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race_Black             : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race_Hispanic          : int  0 0 0 0 0 0 0 0 0 0 ...
##  $ Race                   : chr  NA NA NA NA ...
##  $ Education              : chr  NA NA NA NA ...

At first glance in the dataset we can see that we have originally a lot of variables in character format. We will have to change them either to numerical or to factor in order to be able to do the supervised learning properly.

Moreover, there are a lot of variables that will not be necessary to us, which we will have to delete completely because of the lack of information it provides.

Now, we remove all integers (0s and 1s) from race and study levels as we will only keep one that merges them in factor.

data = dplyr::select(data,-otherdetails, -cityid,-rowNumber, -Race_Asian,
                     -Race_White, -Race_Two_Or_More, -Race_Black,-Race_Hispanic,
                     -Masters_Degree, -Bachelors_Degree, -Doctorate_Degree,
                     -Highschool, -dmaid, -Some_College)

Up next, we are going to check the uniqueness of the variables to know if it is sensible to change them to factor:

length(unique(data$company))

## [1] 1633

length(unique(data$tag))

## [1] 3062

length(unique(data$level))

## [1] 2926

We discard changing company, tag and level to factor. Having 1633, 3062 and 2926, respectively. So, we are going to remove them, too, since they do not provide relevant information:

data = dplyr::select(data,-tag, -level, -company, -timestamp)

Perfect! Now that this is done, let’s get to:

The data preprocessing:

First, how many NAs do we have?

sum(is.na(data))

## [1] 92027

Well…92027, a lot. But, we have to know where they lie, to further analyze which is the best way to get rid of them in our dataset. We are going to do so graphically.

hist(rowMeans(is.na(data)))

From what we can look at, our missing values are not distributed in our data, but they are all in a few variables, let’s see which ones:

aggr(data, numbers = TRUE, sortVars = TRUE, labels = names(data),
     cex.axis = .7, gap = 1, ylab= c('Missing data','Pattern'))

## 
##  Variables sorted by number of missings: 
##                 Variable     Count
##                     Race 0.6419814
##                Education 0.5151815
##                   gender 0.3119313
##                    title 0.0000000
##  totalyearlycompensation 0.0000000
##                 location 0.0000000
##        yearsofexperience 0.0000000
##           yearsatcompany 0.0000000
##               basesalary 0.0000000
##          stockgrantvalue 0.0000000
##                    bonus 0.0000000

gg_miss_upset(data)

The upset plot shows the combination of missings, by default choosing the 5 variables with the most missing values, and then orders them by the size of the missing values in that set. Race has the most missing values, followed by Education and Gender. We have a lot of missing values so we have to consider how to remove them properly. - We may use mice to predict or imputation by the median to predict the NAs. - We have not studied the r^2 yet so we are not going to use regression.

Mice is very power-consuming due to the amount of observations we have. So, after some consideration, we state that the best way is to simply omit them. If we introduced the median of the variable, we would be introducing a lot of bias in the dataset and we want to be fair, and we still have a lot of variables to work with!

data2 = na.omit(data)
sum(is.na(data2))

## [1] 0

missmap(data2, main = 'Missing Map', col = c('#168AAD', '#184e77'))

Visualization of our dataset:

ggplot(data2, aes(x=Education))+
  geom_bar(fill = "#58A4B0")+
  geom_text(stat='count', aes(label=..count..), vjust=-1)+
  ggtitle("Major Distribution")+
  theme(plot.title = element_text(hjust = 0.5))+
  xlab("title")

Most of the people have done a bachelor’s degree, but the Master’s degree is still a close second.

ggplot(data2, aes(x=log10(basesalary), group=Race, fill=Race)) +
  geom_density(adjust=1.5, alpha = 0.5) +
  theme_bw() + facet_wrap(~Race) +xlab("Base salaries depending on race")

We see there is no relevant distortion depending on race, probably due to the equality measures that tech companies are starting to implement.

ggplot(data2,aes(x=title,fill = title))+
  geom_bar()+
  geom_text(stat='count', aes(label=..count..), vjust=-1,check_overlap = TRUE)+
  theme(plot.title = element_text(hjust = 0.5))+
  theme(axis.text.x = element_text(angle = 90, hjust =1, vjust = 0.5))+
  xlab("Titles")+
  ylab("Count")

What we have the most is, by far, software engineers.

ggplot(data2, aes(x = gender, y = basesalary))+geom_violin(alpha = 0.5, adjust=2, fill = 'mediumorchid') +
  stat_summary(fun="mean", geom="point", shape=23, size=3, fill="blue")

We can see that there is not that huge different salaries between genders, still, the males still get a little higher wereas others get a little lower. (it also depends on the number of males, females and others we may have).

ggplot(data2, aes(x = basesalary, y = stockgrantvalue)) +geom_smooth(colour = 'steelblue')

There is a shift in the medium-high salaries in which the stock grant falls suddenly…not as we expected. So, we are going to make a copy of our dataset in numeric format:

data_num = data2
data_num$title = NULL
data_num$totalyearlycompensation = as.numeric(data_num$totalyearlycompensation)
data_num$location = NULL
data_num$gender = as.numeric(as.factor(data_num$gender))
data_num$Race = as.numeric(as.factor(data_num$Race))
data_num$Education = as.numeric(as.factor(data_num$Education))

ggcorr(data_num, label = T)

We have a positive correlation in general, but is low. The most correlated variables are totalyearlycompensation with yearsatcompany and totalyearlycompensation and basesalary. We would have expected other variables to have stronger correlation, too.

Let us see the variables that have the most correlation with totalyearlycompensation:

corr_compensation = sort(cor(data_num)["totalyearlycompensation",], decreasing = T)
corr=data.frame(corr_compensation)
ggplot(corr,aes(x = row.names(corr), y = corr_compensation)) + 
  geom_bar(stat = "identity", fill = "#aC5E99") + 
  scale_x_discrete(limits= row.names(corr)) +
  labs(x = "", y = "TotalYearlyCompensation", title = "Correlations") + 
  theme(plot.title = element_text(hjust = 0, size = rel(1.5)),
        axis.text.x = element_text(angle = 45, hjust = 1))

Outliers We are going to check for them superficially, because they are extreme values far from the others, which may affect our outcomes.

QI = quantile(data_num$totalyearlycompensation, 0.25)
QS = quantile(data_num$totalyearlycompensation, 0.75)
IQR = QS-QI

sum(data_num$totalyearlycompensation < QI - 1.5*IQR | data_num$totalyearlycompensation > QS + 1.5*IQR)

## [1] 990

It is a low number but let’s see it graphically:

x = log10(data$totalyearlycompensation)
y = data$yearsatcompany
# Make the plot
bin=hexbin(x, y, xbins=40)
my_colors=colorRampPalette(rev(brewer.pal(11,'Spectral')))
plot(bin, main="" , colramp=my_colors , legend=F )

We have less than a 5% of outliers (the small dot on top). In the hexagram we can see the spectrum of salaries depending on the experience.

Data Splitting

We are going to divide the totalyearlycompensation in three:

• High
• Medium
• Low

data3 = data_num
data3$totalyearlycompensation = factor(ifelse(data2$totalyearlycompensation == QI, "Low", ifelse(data2$totalyearlycompensation >= QS, "High", "Average")))

levels(data3$totalyearlycompensation)

## [1] "Average" "High"    "Low"

Now, we are going to split our data into train and test set.Were the most information is in the training set. (80%)

spl = createDataPartition(data3$totalyearlycompensation, p = 0.8, list = FALSE) 
comp_train = data3[spl,]
comp_test = data3[-spl,]
str(comp_train)

## 'data.frame':    17273 obs. of  9 variables:
##  $ totalyearlycompensation: Factor w/ 3 levels "Average","High",..: 2 1 2 1 1 2 1 2 1 1 ...
##  $ yearsofexperience      : num  5 3 6 4 5 15 3 19 1 5 ...
##  $ yearsatcompany         : num  5 2 6 4 0 3 3 7 1 1 ...
##  $ basesalary             : num  210000 124000 177000 164000 165000 160000 103000 160000 130000 140000 ...
##  $ stockgrantvalue        : num  145000 1000 125000 38000 22000 150000 0 460000 30000 62000 ...
##  $ bonus                  : num  45000 11000 36000 20000 0 0 10000 0 20000 10000 ...
##  $ gender                 : num  2 2 2 2 2 2 2 2 2 2 ...
##  $ Race                   : num  1 4 1 1 5 1 3 1 1 2 ...
##  $ Education              : num  4 1 1 3 1 1 1 1 1 5 ...
##  - attr(*, "na.action")= 'omit' Named int [1:41051] 1 2 3 4 5 6 7 8 9 10 ...
##   ..- attr(*, "names")= chr [1:41051] "1" "2" "3" "4" ...

Interpretation

ggplot(comp_train, aes(x=yearsofexperience , fill= totalyearlycompensation)) +
  geom_density(adjust=1.5, alpha=.4) +
  theme_light()

There is not much difference, but the most people like in the Average spectrum of the totalyearlycompensation, some people that have more years of experience, clearly have a high compensation, but some do not. This could be due to the different positions that a company has.

LDA

LDA (Linear Discriminant Analysis) is a generalisation of the Fisher’s Linear Discriminant and it is a dimensionality reduction technique used for supervised classification problems (our case).

lda.model = lda(totalyearlycompensation ~ ., data=comp_train)
lda.model

## Call:
## lda(totalyearlycompensation ~ ., data = comp_train)
## 
## Prior probabilities of groups:
##     Average        High         Low 
## 0.745672437 0.252243386 0.002084178 
## 
## Group means:
##         yearsofexperience yearsatcompany basesalary stockgrantvalue     bonus
## Average           5.84837       2.419565   113463.8        17488.28 12119.099
## High             10.91462       3.538444   194924.0       126380.71 37295.387
## Low               8.25000       3.444444   100416.7        11222.22  7277.778
##           gender     Race Education
## Average 1.812112 2.630978  1.955047
## High    1.862291 2.720450  2.307322
## Low     1.861111 2.805556  2.166667
## 
## Coefficients of linear discriminants:
##                             LD1           LD2
## yearsofexperience  2.738640e-02  1.491465e-01
## yearsatcompany    -1.519655e-02  4.082037e-02
## basesalary         1.114233e-05 -9.784590e-06
## stockgrantvalue    1.229278e-05  1.096774e-06
## bonus              1.298476e-05 -1.024012e-05
## gender             9.342796e-02  3.705762e-01
## Race              -2.192258e-02  6.353378e-02
## Education         -6.649769e-03  3.189808e-01
## 
## Proportion of trace:
##    LD1    LD2 
## 0.9993 0.0007

probability = predict(lda.model, newdata=comp_test)$posterior
head(probability)

##         Average         High          Low
## 23542 0.9932551 0.0030320415 0.0037128913
## 23546 0.9351728 0.0635333392 0.0012938303
## 23575 0.9964528 0.0004719263 0.0030753056
## 23576 0.9932994 0.0014521396 0.0052484904
## 23591 0.9895989 0.0029439130 0.0074571598
## 23606 0.5942988 0.4050296112 0.0006716359

prediction = predict(lda.model, newdata=comp_test)$class
head(prediction)

## [1] Average Average Average Average Average Average
## Levels: Average High Low

roc.lda = roc(comp_test$totalyearlycompensation,probability[,2])
auc(roc.lda)

## Area under the curve: 0.9985

plot.roc(comp_test$totalyearlycompensation,probability[,2], print.auc = TRUE,  auc.polygon=TRUE)

The area under the curve is 0.998, the maximum is 1. The ROC curve shows the true positives vs the false positives in different thresholds.

Let’s check the performance:

confusionMatrix(prediction, comp_test$totalyearlycompensation)$table

##           Reference
## Prediction Average High  Low
##    Average    3220  327    9
##    High          0  762    0
##    Low           0    0    0

confusionMatrix(prediction, comp_test$totalyearlycompensation)$overall[1]

##  Accuracy 
## 0.9221862

We have a little bit of overfitting but it is a good start.

QDA

QDA (Quadratic Discriminant Analysis) is pretty similar to the Linear one but it assumes that it is following a Gaussian distribution.

qda.model = qda(totalyearlycompensation ~ ., data=comp_train, prior=c(1/6, 1/3, 1/2))
qda.model

## Call:
## qda(totalyearlycompensation ~ ., data = comp_train, prior = c(1/6, 
##     1/3, 1/2))
## 
## Prior probabilities of groups:
##   Average      High       Low 
## 0.1666667 0.3333333 0.5000000 
## 
## Group means:
##         yearsofexperience yearsatcompany basesalary stockgrantvalue     bonus
## Average           5.84837       2.419565   113463.8        17488.28 12119.099
## High             10.91462       3.538444   194924.0       126380.71 37295.387
## Low               8.25000       3.444444   100416.7        11222.22  7277.778
##           gender     Race Education
## Average 1.812112 2.630978  1.955047
## High    1.862291 2.720450  2.307322
## Low     1.861111 2.805556  2.166667

prediction = predict(qda.model, newdata=comp_test)$class
confusionMatrix(prediction, comp_test$totalyearlycompensation)$table

##           Reference
## Prediction Average High  Low
##    Average    2862   62    0
##    High        284 1027    0
##    Low          74    0    9

confusionMatrix(prediction, comp_test$totalyearlycompensation)$overall[1]

##  Accuracy 
## 0.9027327

It performs better than the LDA.

The Benchamark Model:

The benchmark model is the process of comparing our result to existing methods.It predicts the most likely to be the outcome of our observations. It has a lower performance than LDA and QDA but it is out of the range of overfitting and better balanced. We can see we have a simple model with 74%, we could change the levels to two, but since we are already losing information, we are going to leave this like this.

table(comp_train$totalyearlycompensation)

## 
## Average    High     Low 
##   12880    4357      36

obs <- max(table(comp_test$totalyearlycompensation))

obs/nrow(comp_test)

## [1] 0.7457156

We may also compute it this way:

ctrl <- trainControl(method = "cv", number = 5,
                     classProbs = TRUE, 
                     verboseIter=T)

lrFit <- train(totalyearlycompensation ~ ., 
               method = "glmnet",
               tuneGrid = expand.grid(alpha = seq(0, 1, 0.1), lambda = seq(0, .1, 0.02)),
               metric = "Kappa",
               data = comp_train,
               preProcess = c("center", "scale"),
               trControl = ctrl)

## + Fold1: alpha=0.0, lambda=0.1 
## - Fold1: alpha=0.0, lambda=0.1 
## + Fold1: alpha=0.1, lambda=0.1 
## - Fold1: alpha=0.1, lambda=0.1 
## + Fold1: alpha=0.2, lambda=0.1 
## - Fold1: alpha=0.2, lambda=0.1 
## + Fold1: alpha=0.3, lambda=0.1 
## - Fold1: alpha=0.3, lambda=0.1 
## + Fold1: alpha=0.4, lambda=0.1 
## - Fold1: alpha=0.4, lambda=0.1 
## + Fold1: alpha=0.5, lambda=0.1 
## - Fold1: alpha=0.5, lambda=0.1 
## + Fold1: alpha=0.6, lambda=0.1 
## - Fold1: alpha=0.6, lambda=0.1 
## + Fold1: alpha=0.7, lambda=0.1 
## - Fold1: alpha=0.7, lambda=0.1 
## + Fold1: alpha=0.8, lambda=0.1 
## - Fold1: alpha=0.8, lambda=0.1 
## + Fold1: alpha=0.9, lambda=0.1 
## - Fold1: alpha=0.9, lambda=0.1 
## + Fold1: alpha=1.0, lambda=0.1 
## - Fold1: alpha=1.0, lambda=0.1 
## + Fold2: alpha=0.0, lambda=0.1 
## - Fold2: alpha=0.0, lambda=0.1 
## + Fold2: alpha=0.1, lambda=0.1 
## - Fold2: alpha=0.1, lambda=0.1 
## + Fold2: alpha=0.2, lambda=0.1 
## - Fold2: alpha=0.2, lambda=0.1 
## + Fold2: alpha=0.3, lambda=0.1 
## - Fold2: alpha=0.3, lambda=0.1 
## + Fold2: alpha=0.4, lambda=0.1 
## - Fold2: alpha=0.4, lambda=0.1 
## + Fold2: alpha=0.5, lambda=0.1 
## - Fold2: alpha=0.5, lambda=0.1 
## + Fold2: alpha=0.6, lambda=0.1 
## - Fold2: alpha=0.6, lambda=0.1 
## + Fold2: alpha=0.7, lambda=0.1 
## - Fold2: alpha=0.7, lambda=0.1 
## + Fold2: alpha=0.8, lambda=0.1 
## - Fold2: alpha=0.8, lambda=0.1 
## + Fold2: alpha=0.9, lambda=0.1 
## - Fold2: alpha=0.9, lambda=0.1 
## + Fold2: alpha=1.0, lambda=0.1 
## - Fold2: alpha=1.0, lambda=0.1 
## + Fold3: alpha=0.0, lambda=0.1 
## - Fold3: alpha=0.0, lambda=0.1 
## + Fold3: alpha=0.1, lambda=0.1 
## - Fold3: alpha=0.1, lambda=0.1 
## + Fold3: alpha=0.2, lambda=0.1 
## - Fold3: alpha=0.2, lambda=0.1 
## + Fold3: alpha=0.3, lambda=0.1 
## - Fold3: alpha=0.3, lambda=0.1 
## + Fold3: alpha=0.4, lambda=0.1 
## - Fold3: alpha=0.4, lambda=0.1 
## + Fold3: alpha=0.5, lambda=0.1 
## - Fold3: alpha=0.5, lambda=0.1 
## + Fold3: alpha=0.6, lambda=0.1 
## - Fold3: alpha=0.6, lambda=0.1 
## + Fold3: alpha=0.7, lambda=0.1 
## - Fold3: alpha=0.7, lambda=0.1 
## + Fold3: alpha=0.8, lambda=0.1 
## - Fold3: alpha=0.8, lambda=0.1 
## + Fold3: alpha=0.9, lambda=0.1 
## - Fold3: alpha=0.9, lambda=0.1 
## + Fold3: alpha=1.0, lambda=0.1 
## - Fold3: alpha=1.0, lambda=0.1 
## + Fold4: alpha=0.0, lambda=0.1 
## - Fold4: alpha=0.0, lambda=0.1 
## + Fold4: alpha=0.1, lambda=0.1 
## - Fold4: alpha=0.1, lambda=0.1 
## + Fold4: alpha=0.2, lambda=0.1 
## - Fold4: alpha=0.2, lambda=0.1 
## + Fold4: alpha=0.3, lambda=0.1 
## - Fold4: alpha=0.3, lambda=0.1 
## + Fold4: alpha=0.4, lambda=0.1 
## - Fold4: alpha=0.4, lambda=0.1 
## + Fold4: alpha=0.5, lambda=0.1 
## - Fold4: alpha=0.5, lambda=0.1 
## + Fold4: alpha=0.6, lambda=0.1 
## - Fold4: alpha=0.6, lambda=0.1 
## + Fold4: alpha=0.7, lambda=0.1 
## - Fold4: alpha=0.7, lambda=0.1 
## + Fold4: alpha=0.8, lambda=0.1 
## - Fold4: alpha=0.8, lambda=0.1 
## + Fold4: alpha=0.9, lambda=0.1 
## - Fold4: alpha=0.9, lambda=0.1 
## + Fold4: alpha=1.0, lambda=0.1 
## - Fold4: alpha=1.0, lambda=0.1 
## + Fold5: alpha=0.0, lambda=0.1 
## - Fold5: alpha=0.0, lambda=0.1 
## + Fold5: alpha=0.1, lambda=0.1 
## - Fold5: alpha=0.1, lambda=0.1 
## + Fold5: alpha=0.2, lambda=0.1 
## - Fold5: alpha=0.2, lambda=0.1 
## + Fold5: alpha=0.3, lambda=0.1 
## - Fold5: alpha=0.3, lambda=0.1 
## + Fold5: alpha=0.4, lambda=0.1 
## - Fold5: alpha=0.4, lambda=0.1 
## + Fold5: alpha=0.5, lambda=0.1 
## - Fold5: alpha=0.5, lambda=0.1 
## + Fold5: alpha=0.6, lambda=0.1 
## - Fold5: alpha=0.6, lambda=0.1 
## + Fold5: alpha=0.7, lambda=0.1 
## - Fold5: alpha=0.7, lambda=0.1 
## + Fold5: alpha=0.8, lambda=0.1 
## - Fold5: alpha=0.8, lambda=0.1 
## + Fold5: alpha=0.9, lambda=0.1 
## - Fold5: alpha=0.9, lambda=0.1 
## + Fold5: alpha=1.0, lambda=0.1 
## - Fold5: alpha=1.0, lambda=0.1 
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 1, lambda = 0 on full training set

print(lrFit)

## glmnet 
## 
## 17273 samples
##     8 predictor
##     3 classes: 'Average', 'High', 'Low' 
## 
## Pre-processing: centered (8), scaled (8) 
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 13817, 13819, 13819, 13819, 13818 
## Resampling results across tuning parameters:
## 
##   alpha  lambda  Accuracy   Kappa    
##   0.0    0.00    0.9617322  0.8941875
##   0.0    0.02    0.9617322  0.8941875
##   0.0    0.04    0.9548429  0.8739404
##   0.0    0.06    0.9454642  0.8457147
##   0.0    0.08    0.9368959  0.8192761
##   0.0    0.10    0.9298329  0.7969605
##   0.1    0.00    0.9956581  0.9885158
##   0.1    0.02    0.9687372  0.9142660
##   0.1    0.04    0.9547270  0.8734201
##   0.1    0.06    0.9436116  0.8398352
##   0.1    0.08    0.9346960  0.8121697
##   0.1    0.10    0.9261856  0.7850665
##   0.2    0.00    0.9964107  0.9905206
##   0.2    0.02    0.9683900  0.9132318
##   0.2    0.04    0.9542060  0.8717796
##   0.2    0.06    0.9419906  0.8347953
##   0.2    0.08    0.9313383  0.8014765
##   0.2    0.10    0.9219596  0.7713269
##   0.3    0.00    0.9966423  0.9911363
##   0.3    0.02    0.9680428  0.9122257
##   0.3    0.04    0.9525272  0.8667557
##   0.3    0.06    0.9388645  0.8251115
##   0.3    0.08    0.9279805  0.7907703
##   0.3    0.10    0.9162860  0.7526705
##   0.4    0.00    0.9966423  0.9911414
##   0.4    0.02    0.9679272  0.9118718
##   0.4    0.04    0.9511377  0.8625742
##   0.4    0.06    0.9366646  0.8182487
##   0.4    0.08    0.9234648  0.7762136
##   0.4    0.10    0.9111334  0.7354289
##   0.5    0.00    0.9967581  0.9914483
##   0.5    0.02    0.9680429  0.9122029
##   0.5    0.04    0.9495748  0.8578715
##   0.5    0.06    0.9337698  0.8091716
##   0.5    0.08    0.9194701  0.7631549
##   0.5    0.10    0.9049387  0.7143960
##   0.6    0.00    0.9966423  0.9911461
##   0.6    0.02    0.9670588  0.9093679
##   0.6    0.04    0.9484748  0.8545608
##   0.6    0.06    0.9312225  0.8011115
##   0.6    0.08    0.9147808  0.7476370
##   0.6    0.10    0.8986284  0.6925745
##   0.7    0.00    0.9966423  0.9911461
##   0.7    0.02    0.9664219  0.9075350
##   0.7    0.04    0.9469116  0.8498390
##   0.7    0.06    0.9291381  0.7944787
##   0.7    0.08    0.9104389  0.7330928
##   0.7    0.10    0.8916233  0.6678328
##   0.8    0.00    0.9966423  0.9911461
##   0.8    0.02    0.9666534  0.9081994
##   0.8    0.04    0.9447696  0.8433099
##   0.8    0.06    0.9261857  0.7850136
##   0.8    0.08    0.9057494  0.7171746
##   0.8    0.10    0.8842130  0.6410579
##   0.9    0.00    0.9966423  0.9911461
##   0.9    0.02    0.9666534  0.9082029
##   0.9    0.04    0.9438432  0.8404898
##   0.9    0.06    0.9227122  0.7737553
##   0.9    0.08    0.9003073  0.6984211
##   0.9    0.10    0.8780186  0.6181541
##   1.0    0.00    0.9968159  0.9916012
##   1.0    0.02    0.9669429  0.9090396
##   1.0    0.04    0.9433222  0.8388962
##   1.0    0.06    0.9191228  0.7620062
##   1.0    0.08    0.8949233  0.6795452
##   1.0    0.10    0.8718818  0.5951644
## 
## Kappa was used to select the optimal model using the largest value.
## The final values used for the model were alpha = 1 and lambda = 0.

lrPred = predict(lrFit, comp_test)
confusionMatrix(lrPred, comp_test$totalyearlycompensation)

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction Average High  Low
##    Average    3215    1    9
##    High          5 1088    0
##    Low           0    0    0
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9965          
##                  95% CI : (0.9943, 0.9981)
##     No Information Rate : 0.7457          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9908          
##                                           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9984      0.9991   0.000000
## Specificity                  0.9909      0.9985   1.000000
## Pos Pred Value               0.9969      0.9954        NaN
## Neg Pred Value               0.9954      0.9997   0.997916
## Prevalence                   0.7457      0.2522   0.002084
## Detection Rate               0.7446      0.2520   0.000000
## Detection Prevalence         0.7469      0.2531   0.000000
## Balanced Accuracy            0.9947      0.9988   0.500000

#VARIABLE IMPORTANCE
lr_imp <- varImp(lrFit, scale = F)
plot(lr_imp, scales = list(y = list(cex = .95)))

Naïve-Bayes

Standard Version (Gaussian)

The Naïve-Bayes Classification is a family of simple probabilistic classifiers based on applying Bayes’s Theorem with strong independence.

spl = sample(1:nrow(data3), 12000)
train_1 = data_num[spl,]
test_1 = data_num[-spl,]
train_2 = data3[spl,]
test_2 = data3[-spl,]

data_num$totalyearlycompensation = as.factor(data_num$totalyearlycompensation)
index=createDataPartition(data_num$totalyearlycompensation,p=0.8,list=FALSE)
x_train=data_num[index,]
x_test=data_num[-index,]
y_train=data_num[index,]$totalyearlycompensation
y_test=data_num[-index,]$totalyearlycompensation

NB.fit <- naiveBayes(as.matrix(x_train), y_train, laplace = 1)
# laplace controls smoothing of probabilities
NB.pred <- predict(NB.fit, as.matrix(x_test))

confusionMatrix(NB.pred,y_test)

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction 10000 11000 12000 13000 14000 15000 16000 17000 18000 19000 20000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 21000 22000 23000 24000 25000 26000 27000 28000 29000 30000 31000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 32000 33000 34000 35000 36000 37000 38000 39000 40000 41000 42000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 43000 44000 45000 46000 47000 48000 49000 50000 51000 52000 53000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 54000 55000 56000 57000 58000 59000 60000 61000 62000 63000 64000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 65000 66000 67000 68000 69000 70000 71000 72000 73000 74000 75000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 76000 77000 78000 79000 80000 81000 82000 83000 84000 85000 86000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 87000 88000 89000 90000 91000 92000 93000 94000 95000 96000 97000
##    10000       0     0     0     0     0     0     0     0     0     0     0
##    11000       0     0     0     0     0     0     0     0     0     0     0
##    12000       0     0     0     0     0     0     0     0     0     0     0
##    13000       0     0     0     0     0     0     0     0     0     0     0
##    14000       0     0     0     0     0     0     0     0     0     0     0
##    15000       0     0     0     0     0     0     0     0     0     0     0
##    16000       0     0     0     0     0     0     0     0     0     0     0
##    17000       0     0     0     0     0     0     0     0     0     0     0
##    18000       0     0     0     0     0     0     0     0     0     0     0
##    19000       0     0     0     0     0     0     0     0     0     0     0
##    20000       0     0     0     0     0     0     0     0     0     0     0
##    21000       0     0     0     0     0     0     0     0     0     0     0
##    22000       0     0     0     0     0     0     0     0     0     0     0
##    23000       0     0     0     0     0     0     0     0     0     0     0
##    24000       0     0     0     0     0     0     0     0     0     0     0
##    25000       0     0     0     0     0     0     0     0     0     0     0
##    26000       0     0     0     0     0     0     0     0     0     0     0
##    27000       0     0     0     0     0     0     0     0     0     0     0
##    28000       0     0     0     0     0     0     0     0     0     0     0
##    29000       0     0     0     0     0     0     0     0     0     0     0
##    30000       0     0     0     0     0     0     0     0     0     0     0
##    31000       0     0     0     0     0     0     0     0     0     0     0
##    32000       0     0     0     0     0     0     0     0     0     0     0
##    33000       0     0     0     0     0     0     0     0     0     0     0
##    34000       0     0     0     0     0     0     0     0     0     0     0
##    35000       0     0     0     0     0     0     0     0     0     0     0
##    36000       0     0     0     0     0     0     0     0     0     0     0
##    37000       0     0     0     0     0     0     0     0     0     0     0
##    38000       0     0     0     0     0     0     0     0     0     0     0
##    39000       0     0     0     0     0     0     0     0     0     0     0
##    40000       0     0     0     0     0     0     0     0     0     0     0
##    41000       0     0     0     0     0     0     0     0     0     0     0
##    42000       0     0     0     0     0     0     0     0     0     0     0
##    43000       0     0     0     0     0     0     0     0     0     0     0
##    44000       0     0     0     0     0     0     0     0     0     0     0
##    45000       0     0     0     0     0     0     0     0     0     0     0
##    46000       0     0     0     0     0     0     0     0     0     0     0
##    47000       0     0     0     0     0     0     0     0     0     0     0
##    48000       0     0     0     0     0     0     0     0     0     0     0
##    49000       0     0     0     0     0     0     0     0     0     0     0
##    50000       0     0     0     0     0     0     0     0     0     0     0
##    51000       0     0     0     0     0     0     0     0     0     0     0
##    52000       0     0     0     0     0     0     0     0     0     0     0
##    53000       0     0     0     0     0     0     0     0     0     0     0
##    54000       0     0     0     0     0     0     0     0     0     0     0
##    55000       0     0     0     0     0     0     0     0     0     0     0
##    56000       0     0     0     0     0     0     0     0     0     0     0
##    57000       0     0     0     0     0     0     0     0     0     0     0
##    58000       0     0     0     0     0     0     0     0     0     0     0
##    59000       0     0     0     0     0     0     0     0     0     0     0
##    60000       0     0     0     0     0     0     0     0     0     0     0
##    61000       0     0     0     0     0     0     0     0     0     0     0
##    62000       0     0     0     0     0     0     0     0     0     0     0
##    63000       0     0     0     0     0     0     0     0     0     0     0
##    64000       0     0     0     0     0     0     0     0     0     0     0
##    65000       0     0     0     0     0     0     0     0     0     0     0
##    66000       0     0     0     0     0     0     0     0     0     0     0
##    67000       0     0     0     0     0     0     0     0     0     0     0
##    68000       0     0     0     0     0     0     0     0     0     0     0
##    69000       0     0     0     0     0     0     0     0     0     0     0
##    70000       0     0     0     0     0     0     0     0     0     0     0
##    71000       0     0     0     0     0     0     0     0     0     0     0
##    72000       0     0     0     0     0     0     0     0     0     0     0
##    73000       0     0     0     0     0     0     0     0     0     0     0
##    74000       0     0     0     0     0     0     0     0     0     0     0
##    75000       0     0     0     0     0     0     0     0     0     0     0
##    76000       0     0     0     0     0     0     0     0     0     0     0
##    77000       0     0     0     0     0     0     0     0     0     0     0
##    78000       0     0     0     0     0     0     0     0     0     0     0
##    79000       0     0     0     0     0     0     0     0     0     0     0
##    80000       0     0     0     0     0     0     0     0     0     0     0
##    81000       0     0     0     0     0     0     0     0     0     0     0
##    82000       0     0     0     0     0     0     0     0     0     0     0
##    83000       0     0     0     0     0     0     0     0     0     0     0
##    84000       0     0     0     0     0     0     0     0     0     0     0
##    85000       0     0     0     0     0     0     0     0     0     0     0
##    86000       0     0     0     0     0     0     0     0     0     0     0
##    87000       0     0     0     0     0     0     0     0     0     0     0
##    88000       0     0     0     0     0     0     0     0     0     0     0
##    89000       0     0     0     0     0     0     0     0     0     0     0
##    90000       0     0     0     0     0     0     0     0     0     0     0
##    91000       0     0     0     0     0     0     0     0     0     0     0
##    92000       0     0     0     0     0     0     0     0     0     0     0
##    93000       0     0     0     0     0     0     0     0     0     0     0
##    94000       0     0     0     0     0     0     0     0     0     0     0
##    95000       0     0     0     0     0     0     0     0     0     0     0
##    96000       0     0     0     0     0     0     0     0     0     0     0
##    97000       0     0     0     0     0     0     0     0     0     0     0
##    98000       0     0     0     0     0     0     0     0     0     0     0
##    99000       0     0     0     0     0     0     0     0     0     0     0
##    1e+05       0     0     0     0     0     0     0     0     0     0     0
##    101000      0     0     0     0     0     0     0     0     0     0     0
##    102000      0     0     0     0     0     0     0     0     0     0     0
##    103000      0     0     0     0     0     0     0     0     0     0     0
##    104000      0     0     0     0     0     0     0     0     0     0     0
##    105000      0     0     0     0     0     0     0     0     0     0     0
##    106000      0     0     0     0     0     0     0     0     0     0     0
##    107000      0     0     0     0     0     0     0     0     0     0     0
##    108000      0     0     0     0     0     0     0     0     0     0     0
##    109000      0     0     0     0     0     0     0     0     0     0     0
##    110000      0     0     0     0     0     0     0     0     0     0     0
##    111000      0     0     0     0     0     0     0     0     0     0     0
##    112000      0     0     0     0     0     0     0     0     0     0     0
##    113000      0     0     0     0     0     0     0     0     0     0     0
##    114000      0     0     0     0     0     0     0     0     0     0     0
##    115000      0     0     0     0     0     0     0     0     0     0     0
##    116000      0     0     0     0     0     0     0     0     0     0     0
##    117000      0     0     0     0     0     0     0     0     0     0     0
##    118000      0     0     0     0     0     0     0     0     0     0     0
##    119000      0     0     0     0     0     0     0     0     0     0     0
##    120000      0     0     0     0     0     0     0     0     0     0     0
##    121000      0     0     0     0     0     0     0     0     0     0     0
##    122000      0     0     0     0     0     0     0     0     0     0     0
##    123000      0     0     0     0     0     0     0     0     0     0     0
##    124000      0     0     0     0     0     0     0     0     0     0     0
##    125000      0     0     0     0     0     0     0     0     0     0     0
##    126000      0     0     0     0     0     0     0     0     0     0     0
##    127000      0     0     0     0     0     0     0     0     0     0     0
##    128000      0     0     0     0     0     0     0     0     0     0     0
##    129000      0     0     0     0     0     0     0     0     0     0     0
##    130000      0     0     0     0     0     0     0     0     0     0     0
##    131000      0     0     0     0     0     0     0     0     0     0     0
##    132000      0     0     0     0     0     0     0     0     0     0     0
##    133000      0     0     0     0     0     0     0     0     0     0     0
##    134000      0     0     0     0     0     0     0     0     0     0     0
##    135000      0     0     0     0     0     0     0     0     0     0     0
##    136000      0     0     0     0     0     0     0     0     0     0     0
##    137000      0     0     0     0     0     0     0     0     0     0     0
##    138000      0     0     0     0     0     0     0     0     0     0     0
##    139000      0     0     0     0     0     0     0     0     0     0     0
##    140000      0     0     0     0     0     0     0     0     0     0     0
##    141000      0     0     0     0     0     0     0     0     0     0     0
##    142000      0     0     0     0     0     0     0     0     0     0     0
##    143000      0     0     0     0     0     0     0     0     0     0     0
##    144000      0     0     0     0     0     0     0     0     0     0     0
##    145000      0     0     0     0     0     0     0     0     0     0     0
##    146000      0     0     0     0     0     0     0     0     0     0     0
##    147000      0     0     0     0     0     0     0     0     0     0     0
##    148000      0     0     0     0     0     0     0     0     0     0     0
##    149000      0     0     0     0     0     0     0     0     0     0     0
##           Reference
## Prediction 98000 99000 1e+05 101000 102000 103000 104000 105000 106000 107000
##    10000       0     0     0      0      0      0      0      0      0      0
##    11000       0     0     0      0      0      0      0      0      0      0
##    12000       0     0     0      0      0      0      0      0      0      0
##    13000       0     0     0      0      0      0      0      0      0      0
##    14000       0     0     0      0      0      0      0      0      0      0
##    15000       0     0     0      0      0      0      0      0      0      0
##    16000       0     0     0      0      0      0      0      0      0      0
##    17000       0     0     0      0      0      0      0      0      0      0
##    18000       0     0     0      0      0      0      0      0      0      0
##    19000       0     0     0      0      0      0      0      0      0      0
##    20000       0     0     0      0      0      0      0      0      0      0
##    21000       0     0     0      0      0      0      0      0      0      0
##    22000       0     0     0      0      0      0      0      0      0      0
##    23000       0     0     0      0      0      0      0      0      0      0
##    24000       0     0     0      0      0      0      0      0      0      0
##    25000       0     0     0      0      0      0      0      0      0      0
##    26000       0     0     0      0      0      0      0      0      0      0
##    27000       0     0     0      0      0      0      0      0      0      0
##    28000       0     0     0      0      0      0      0      0      0      0
##    29000       0     0     0      0      0      0      0      0      0      0
##    30000       0     0     0      0      0      0      0      0      0      0
##    31000       0     0     0      0      0      0      0      0      0      0
##    32000       0     0     0      0      0      0      0      0      0      0
##    33000       0     0     0      0      0      0      0      0      0      0
##    34000       0     0     0      0      0      0      0      0      0      0
##    35000       0     0     0      0      0      0      0      0      0      0
##    36000       0     0     0      0      0      0      0      0      0      0
##    37000       0     0     0      0      0      0      0      0      0      0
##    38000       0     0     0      0      0      0      0      0      0      0
##    39000       0     0     0      0      0      0      0      0      0      0
##    40000       0     0     0      0      0      0      0      0      0      0
##    41000       0     0     0      0      0      0      0      0      0      0
##    42000       0     0     0      0      0      0      0      0      0      0
##    43000       0     0     0      0      0      0      0      0      0      0
##    44000       0     0     0      0      0      0      0      0      0      0
##    45000       0     0     0      0      0      0      0      0      0      0
##    46000       0     0     0      0      0      0      0      0      0      0
##    47000       0     0     0      0      0      0      0      0      0      0
##    48000       0     0     0      0      0      0      0      0      0      0
##    49000       0     0     0      0      0      0      0      0      0      0
##    50000       0     0     0      0      0      0      0      0      0      0
##    51000       0     0     0      0      0      0      0      0      0      0
##    52000       0     0     0      0      0      0      0      0      0      0
##    53000       0     0     0      0      0      0      0      0      0      0
##    54000       0     0     0      0      0      0      0      0      0      0
##    55000       0     0     0      0      0      0      0      0      0      0
##    56000       0     0     0      0      0      0      0      0      0      0
##    57000       0     0     0      0      0      0      0      0      0      0
##    58000       0     0     0      0      0      0      0      0      0      0
##    59000       0     0     0      0      0      0      0      0      0      0
##    60000       0     0     0      0      0      0      0      0      0      0
##    61000       0     0     0      0      0      0      0      0      0      0
##    62000       0     0     0      0      0      0      0      0      0      0
##    63000       0     0     0      0      0      0      0      0      0      0
##    64000       0     0     0      0      0      0      0      0      0      0
##    65000       0     0     0      0      0      0      0      0      0      0
##    66000       0     0     0      0      0      0      0      0      0      0
##    67000       0     0     0      0      0      0      0      0      0      0
##    68000       0     0     0      0      0      0      0      0      0      0
##    69000       0     0     0      0      0      0      0      0      0      0
##    70000       0     0     0      0      0      0      0      0      0      0
##    71000       0     0     0      0      0      0      0      0      0      0
##    72000       0     0     0      0      0      0      0      0      0      0
##    73000       0     0     0      0      0      0      0      0      0      0
##    74000       0     0     0      0      0      0      0      0      0      0
##    75000       0     0     0      0      0      0      0      0      0      0
##    76000       0     0     0      0      0      0      0      0      0      0
##    77000       0     0     0      0      0      0      0      0      0      0
##    78000       0     0     0      0      0      0      0      0      0      0
##    79000       0     0     0      0      0      0      0      0      0      0
##    80000       0     0     0      0      0      0      0      0      0      0
##    81000       0     0     0      0      0      0      0      0      0      0
##    82000       0     0     0      0      0      0      0      0      0      0
##    83000       0     0     0      0      0      0      0      0      0      0
##    84000       0     0     0      0      0      0      0      0      0      0
##    85000       0     0     0      0      0      0      0      0      0      0
##    86000       0     0     0      0      0      0      0      0      0      0
##    87000       0     0     0      0      0      0      0      0      0      0
##    88000       0     0     0      0      0      0      0      0      0      0
##    89000       0     0     0      0      0      0      0      0      0      0
##    90000       0     0     0      0      0      0      0      0      0      0
##    91000       0     0     0      0      0      0      0      0      0      0
##    92000       0     0     0      0      0      0      0      0      0      0
##    93000       0     0     0      0      0      0      0      0      0      0
##    94000       0     0     0      0      0      0      0      0      0      0
##    95000       0     0     0      0      0      0      0      0      0      0
##    96000       0     0     0      0      0      0      0      0      0      0
##    97000       0     0     0      0      0      0      0      0      0      0
##    98000       0     0     0      0      0      0      0      0      0      0
##    99000       0     0     0      0      0      0      0      0      0      0
##    1e+05       0     0     0      0      0      0      0      0      0      0
##    101000      0     0     0      0      0      0      0      0      0      0
##    102000      0     0     0      0      0      0      0      0      0      0
##    103000      0     0     0      0      0      0      0      0      0      0
##    104000      0     0     0      0      0      0      0      0      0      0
##    105000      0     0     0      0      0      0      0      0      0      0
##    106000      0     0     0      0      0      0      0      0      0      0
##    107000      0     0     0      0      0      0      0      0      0      0
##    108000      0     0     0      0      0      0      0      0      0      0
##    109000      0     0     0      0      0      0      0      0      0      0
##    110000      0     0     0      0      0      0      0      0      0      0
##    111000      0     0     0      0      0      0      0      0      0      0
##    112000      0     0     0      0      0      0      0      0      0      0
##    113000      0     0     0      0      0      0      0      0      0      0
##    114000      0     0     0      0      0      0      0      0      0      0
##    115000      0     0     0      0      0      0      0      0      0      0
##    116000      0     0     0      0      0      0      0      0      0      0
##    117000      0     0     0      0      0      0      0      0      0      0
##    118000      0     0     0      0      0      0      0      0      0      0
##    119000      0     0     0      0      0      0      0      0      0      0
##    120000      0     0     0      0      0      0      0      0      0      0
##    121000      0     0     0      0      0      0      0      0      0      0
##    122000      0     0     0      0      0      0      0      0      0      0
##    123000      0     0     0      0      0      0      0      0      0      0
##    124000      0     0     0      0      0      0      0      0      0      0
##    125000      0     0     0      0      0      0      0      0      0      0
##    126000      0     0     0      0      0      0      0      0      0      0
##    127000      0     0     0      0      0      0      0      0      0      0
##    128000      0     0     0      0      0      0      0      0      0      0
##    129000      0     0     0      0      0      0      0      0      0      0
##    130000      0     0     0      0      0      0      0      0      0      0
##    131000      0     0     0      0      0      0      0      0      0      0
##    132000      0     0     0      0      0      0      0      0      0      0
##    133000      0     0     0      0      0      0      0      0      0      0
##    134000      0     0     0      0      0      0      0      0      0      0
##    135000      0     0     0      0      0      0      0      0      0      0
##    136000      0     0     0      0      0      0      0      0      0      0
##    137000      0     0     0      0      0      0      0      0      0      0
##    138000      0     0     0      0      0      0      0      0      0      0
##    139000      0     0     0      0      0      0      0      0      0      0
##    140000      0     0     0      0      0      0      0      0      0      0
##    141000      0     0     0      0      0      0      0      0      0      0
##    142000      0     0     0      0      0      0      0      0      0      0
##    143000      0     0     0      0      0      0      0      0      0      0
##    144000      0     0     0      0      0      0      0      0      0      0
##    145000      0     0     0      0      0      0      0      0      0      0
##    146000      0     0     0      0      0      0      0      0      0      0
##    147000      0     0     0      0      0      0      0      0      0      0
##    148000      0     0     0      0      0      0      0      0      0      0
##    149000      0     0     0      0      0      0      0      0      0      0
##           Reference
## Prediction 108000 109000 110000 111000 112000 113000 114000 115000 116000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 117000 118000 119000 120000 121000 122000 123000 124000 125000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 126000 127000 128000 129000 130000 131000 132000 133000 134000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 135000 136000 137000 138000 139000 140000 141000 142000 143000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 144000 145000 146000 147000 148000 149000 150000 151000 152000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 153000 154000 155000 156000 157000 158000 159000 160000 161000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 162000 163000 164000 165000 166000 167000 168000 169000 170000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 171000 172000 173000 174000 175000 176000 177000 178000 179000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 180000 181000 182000 183000 184000 185000 186000 187000 188000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 189000 190000 191000 192000 193000 194000 195000 196000 197000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 198000 199000 2e+05 201000 202000 203000 204000 205000 206000 207000
##    10000        0      0     0      0      0      0      0      0      0      0
##    11000        0      0     0      0      0      0      0      0      0      0
##    12000        0      0     0      0      0      0      0      0      0      0
##    13000        0      0     0      0      0      0      0      0      0      0
##    14000        0      0     0      0      0      0      0      0      0      0
##    15000        0      0     0      0      0      0      0      0      0      0
##    16000        0      0     0      0      0      0      0      0      0      0
##    17000        0      0     0      0      0      0      0      0      0      0
##    18000        0      0     0      0      0      0      0      0      0      0
##    19000        0      0     0      0      0      0      0      0      0      0
##    20000        0      0     0      0      0      0      0      0      0      0
##    21000        0      0     0      0      0      0      0      0      0      0
##    22000        0      0     0      0      0      0      0      0      0      0
##    23000        0      0     0      0      0      0      0      0      0      0
##    24000        0      0     0      0      0      0      0      0      0      0
##    25000        0      0     0      0      0      0      0      0      0      0
##    26000        0      0     0      0      0      0      0      0      0      0
##    27000        0      0     0      0      0      0      0      0      0      0
##    28000        0      0     0      0      0      0      0      0      0      0
##    29000        0      0     0      0      0      0      0      0      0      0
##    30000        0      0     0      0      0      0      0      0      0      0
##    31000        0      0     0      0      0      0      0      0      0      0
##    32000        0      0     0      0      0      0      0      0      0      0
##    33000        0      0     0      0      0      0      0      0      0      0
##    34000        0      0     0      0      0      0      0      0      0      0
##    35000        0      0     0      0      0      0      0      0      0      0
##    36000        0      0     0      0      0      0      0      0      0      0
##    37000        0      0     0      0      0      0      0      0      0      0
##    38000        0      0     0      0      0      0      0      0      0      0
##    39000        0      0     0      0      0      0      0      0      0      0
##    40000        0      0     0      0      0      0      0      0      0      0
##    41000        0      0     0      0      0      0      0      0      0      0
##    42000        0      0     0      0      0      0      0      0      0      0
##    43000        0      0     0      0      0      0      0      0      0      0
##    44000        0      0     0      0      0      0      0      0      0      0
##    45000        0      0     0      0      0      0      0      0      0      0
##    46000        0      0     0      0      0      0      0      0      0      0
##    47000        0      0     0      0      0      0      0      0      0      0
##    48000        0      0     0      0      0      0      0      0      0      0
##    49000        0      0     0      0      0      0      0      0      0      0
##    50000        0      0     0      0      0      0      0      0      0      0
##    51000        0      0     0      0      0      0      0      0      0      0
##    52000        0      0     0      0      0      0      0      0      0      0
##    53000        0      0     0      0      0      0      0      0      0      0
##    54000        0      0     0      0      0      0      0      0      0      0
##    55000        0      0     0      0      0      0      0      0      0      0
##    56000        0      0     0      0      0      0      0      0      0      0
##    57000        0      0     0      0      0      0      0      0      0      0
##    58000        0      0     0      0      0      0      0      0      0      0
##    59000        0      0     0      0      0      0      0      0      0      0
##    60000        0      0     0      0      0      0      0      0      0      0
##    61000        0      0     0      0      0      0      0      0      0      0
##    62000        0      0     0      0      0      0      0      0      0      0
##    63000        0      0     0      0      0      0      0      0      0      0
##    64000        0      0     0      0      0      0      0      0      0      0
##    65000        0      0     0      0      0      0      0      0      0      0
##    66000        0      0     0      0      0      0      0      0      0      0
##    67000        0      0     0      0      0      0      0      0      0      0
##    68000        0      0     0      0      0      0      0      0      0      0
##    69000        0      0     0      0      0      0      0      0      0      0
##    70000        0      0     0      0      0      0      0      0      0      0
##    71000        0      0     0      0      0      0      0      0      0      0
##    72000        0      0     0      0      0      0      0      0      0      0
##    73000        0      0     0      0      0      0      0      0      0      0
##    74000        0      0     0      0      0      0      0      0      0      0
##    75000        0      0     0      0      0      0      0      0      0      0
##    76000        0      0     0      0      0      0      0      0      0      0
##    77000        0      0     0      0      0      0      0      0      0      0
##    78000        0      0     0      0      0      0      0      0      0      0
##    79000        0      0     0      0      0      0      0      0      0      0
##    80000        0      0     0      0      0      0      0      0      0      0
##    81000        0      0     0      0      0      0      0      0      0      0
##    82000        0      0     0      0      0      0      0      0      0      0
##    83000        0      0     0      0      0      0      0      0      0      0
##    84000        0      0     0      0      0      0      0      0      0      0
##    85000        0      0     0      0      0      0      0      0      0      0
##    86000        0      0     0      0      0      0      0      0      0      0
##    87000        0      0     0      0      0      0      0      0      0      0
##    88000        0      0     0      0      0      0      0      0      0      0
##    89000        0      0     0      0      0      0      0      0      0      0
##    90000        0      0     0      0      0      0      0      0      0      0
##    91000        0      0     0      0      0      0      0      0      0      0
##    92000        0      0     0      0      0      0      0      0      0      0
##    93000        0      0     0      0      0      0      0      0      0      0
##    94000        0      0     0      0      0      0      0      0      0      0
##    95000        0      0     0      0      0      0      0      0      0      0
##    96000        0      0     0      0      0      0      0      0      0      0
##    97000        0      0     0      0      0      0      0      0      0      0
##    98000        0      0     0      0      0      0      0      0      0      0
##    99000        0      0     0      0      0      0      0      0      0      0
##    1e+05        0      0     0      0      0      0      0      0      0      0
##    101000       0      0     0      0      0      0      0      0      0      0
##    102000       0      0     0      0      0      0      0      0      0      0
##    103000       0      0     0      0      0      0      0      0      0      0
##    104000       0      0     0      0      0      0      0      0      0      0
##    105000       0      0     0      0      0      0      0      0      0      0
##    106000       0      0     0      0      0      0      0      0      0      0
##    107000       0      0     0      0      0      0      0      0      0      0
##    108000       0      0     0      0      0      0      0      0      0      0
##    109000       0      0     0      0      0      0      0      0      0      0
##    110000       0      0     0      0      0      0      0      0      0      0
##    111000       0      0     0      0      0      0      0      0      0      0
##    112000       0      0     0      0      0      0      0      0      0      0
##    113000       0      0     0      0      0      0      0      0      0      0
##    114000       0      0     0      0      0      0      0      0      0      0
##    115000       0      0     0      0      0      0      0      0      0      0
##    116000       0      0     0      0      0      0      0      0      0      0
##    117000       0      0     0      0      0      0      0      0      0      0
##    118000       0      0     0      0      0      0      0      0      0      0
##    119000       0      0     0      0      0      0      0      0      0      0
##    120000       0      0     0      0      0      0      0      0      0      0
##    121000       0      0     0      0      0      0      0      0      0      0
##    122000       0      0     0      0      0      0      0      0      0      0
##    123000       0      0     0      0      0      0      0      0      0      0
##    124000       0      0     0      0      0      0      0      0      0      0
##    125000       0      0     0      0      0      0      0      0      0      0
##    126000       0      0     0      0      0      0      0      0      0      0
##    127000       0      0     0      0      0      0      0      0      0      0
##    128000       0      0     0      0      0      0      0      0      0      0
##    129000       0      0     0      0      0      0      0      0      0      0
##    130000       0      0     0      0      0      0      0      0      0      0
##    131000       0      0     0      0      0      0      0      0      0      0
##    132000       0      0     0      0      0      0      0      0      0      0
##    133000       0      0     0      0      0      0      0      0      0      0
##    134000       0      0     0      0      0      0      0      0      0      0
##    135000       0      0     0      0      0      0      0      0      0      0
##    136000       0      0     0      0      0      0      0      0      0      0
##    137000       0      0     0      0      0      0      0      0      0      0
##    138000       0      0     0      0      0      0      0      0      0      0
##    139000       0      0     0      0      0      0      0      0      0      0
##    140000       0      0     0      0      0      0      0      0      0      0
##    141000       0      0     0      0      0      0      0      0      0      0
##    142000       0      0     0      0      0      0      0      0      0      0
##    143000       0      0     0      0      0      0      0      0      0      0
##    144000       0      0     0      0      0      0      0      0      0      0
##    145000       0      0     0      0      0      0      0      0      0      0
##    146000       0      0     0      0      0      0      0      0      0      0
##    147000       0      0     0      0      0      0      0      0      0      0
##    148000       0      0     0      0      0      0      0      0      0      0
##    149000       0      0     0      0      0      0      0      0      0      0
##           Reference
## Prediction 208000 209000 210000 211000 212000 213000 214000 215000 216000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 217000 218000 219000 220000 221000 222000 223000 224000 225000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 226000 227000 228000 229000 230000 231000 232000 233000 234000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 235000 236000 237000 238000 239000 240000 241000 242000 243000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 244000 245000 246000 247000 248000 249000 250000 251000 252000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 253000 254000 255000 256000 257000 258000 259000 260000 261000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 262000 263000 264000 265000 266000 267000 268000 269000 270000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 271000 272000 273000 274000 275000 276000 277000 278000 279000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 280000 281000 282000 283000 284000 285000 286000 287000 288000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 289000 290000 291000 292000 293000 294000 295000 296000 297000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 298000 299000 3e+05 301000 302000 303000 304000 305000 306000 307000
##    10000        0      0     0      0      0      0      0      0      0      0
##    11000        0      0     0      0      0      0      0      0      0      0
##    12000        0      0     0      0      0      0      0      0      0      0
##    13000        0      0     0      0      0      0      0      0      0      0
##    14000        0      0     0      0      0      0      0      0      0      0
##    15000        0      0     0      0      0      0      0      0      0      0
##    16000        0      0     0      0      0      0      0      0      0      0
##    17000        0      0     0      0      0      0      0      0      0      0
##    18000        0      0     0      0      0      0      0      0      0      0
##    19000        0      0     0      0      0      0      0      0      0      0
##    20000        0      0     0      0      0      0      0      0      0      0
##    21000        0      0     0      0      0      0      0      0      0      0
##    22000        0      0     0      0      0      0      0      0      0      0
##    23000        0      0     0      0      0      0      0      0      0      0
##    24000        0      0     0      0      0      0      0      0      0      0
##    25000        0      0     0      0      0      0      0      0      0      0
##    26000        0      0     0      0      0      0      0      0      0      0
##    27000        0      0     0      0      0      0      0      0      0      0
##    28000        0      0     0      0      0      0      0      0      0      0
##    29000        0      0     0      0      0      0      0      0      0      0
##    30000        0      0     0      0      0      0      0      0      0      0
##    31000        0      0     0      0      0      0      0      0      0      0
##    32000        0      0     0      0      0      0      0      0      0      0
##    33000        0      0     0      0      0      0      0      0      0      0
##    34000        0      0     0      0      0      0      0      0      0      0
##    35000        0      0     0      0      0      0      0      0      0      0
##    36000        0      0     0      0      0      0      0      0      0      0
##    37000        0      0     0      0      0      0      0      0      0      0
##    38000        0      0     0      0      0      0      0      0      0      0
##    39000        0      0     0      0      0      0      0      0      0      0
##    40000        0      0     0      0      0      0      0      0      0      0
##    41000        0      0     0      0      0      0      0      0      0      0
##    42000        0      0     0      0      0      0      0      0      0      0
##    43000        0      0     0      0      0      0      0      0      0      0
##    44000        0      0     0      0      0      0      0      0      0      0
##    45000        0      0     0      0      0      0      0      0      0      0
##    46000        0      0     0      0      0      0      0      0      0      0
##    47000        0      0     0      0      0      0      0      0      0      0
##    48000        0      0     0      0      0      0      0      0      0      0
##    49000        0      0     0      0      0      0      0      0      0      0
##    50000        0      0     0      0      0      0      0      0      0      0
##    51000        0      0     0      0      0      0      0      0      0      0
##    52000        0      0     0      0      0      0      0      0      0      0
##    53000        0      0     0      0      0      0      0      0      0      0
##    54000        0      0     0      0      0      0      0      0      0      0
##    55000        0      0     0      0      0      0      0      0      0      0
##    56000        0      0     0      0      0      0      0      0      0      0
##    57000        0      0     0      0      0      0      0      0      0      0
##    58000        0      0     0      0      0      0      0      0      0      0
##    59000        0      0     0      0      0      0      0      0      0      0
##    60000        0      0     0      0      0      0      0      0      0      0
##    61000        0      0     0      0      0      0      0      0      0      0
##    62000        0      0     0      0      0      0      0      0      0      0
##    63000        0      0     0      0      0      0      0      0      0      0
##    64000        0      0     0      0      0      0      0      0      0      0
##    65000        0      0     0      0      0      0      0      0      0      0
##    66000        0      0     0      0      0      0      0      0      0      0
##    67000        0      0     0      0      0      0      0      0      0      0
##    68000        0      0     0      0      0      0      0      0      0      0
##    69000        0      0     0      0      0      0      0      0      0      0
##    70000        0      0     0      0      0      0      0      0      0      0
##    71000        0      0     0      0      0      0      0      0      0      0
##    72000        0      0     0      0      0      0      0      0      0      0
##    73000        0      0     0      0      0      0      0      0      0      0
##    74000        0      0     0      0      0      0      0      0      0      0
##    75000        0      0     0      0      0      0      0      0      0      0
##    76000        0      0     0      0      0      0      0      0      0      0
##    77000        0      0     0      0      0      0      0      0      0      0
##    78000        0      0     0      0      0      0      0      0      0      0
##    79000        0      0     0      0      0      0      0      0      0      0
##    80000        0      0     0      0      0      0      0      0      0      0
##    81000        0      0     0      0      0      0      0      0      0      0
##    82000        0      0     0      0      0      0      0      0      0      0
##    83000        0      0     0      0      0      0      0      0      0      0
##    84000        0      0     0      0      0      0      0      0      0      0
##    85000        0      0     0      0      0      0      0      0      0      0
##    86000        0      0     0      0      0      0      0      0      0      0
##    87000        0      0     0      0      0      0      0      0      0      0
##    88000        0      0     0      0      0      0      0      0      0      0
##    89000        0      0     0      0      0      0      0      0      0      0
##    90000        0      0     0      0      0      0      0      0      0      0
##    91000        0      0     0      0      0      0      0      0      0      0
##    92000        0      0     0      0      0      0      0      0      0      0
##    93000        0      0     0      0      0      0      0      0      0      0
##    94000        0      0     0      0      0      0      0      0      0      0
##    95000        0      0     0      0      0      0      0      0      0      0
##    96000        0      0     0      0      0      0      0      0      0      0
##    97000        0      0     0      0      0      0      0      0      0      0
##    98000        0      0     0      0      0      0      0      0      0      0
##    99000        0      0     0      0      0      0      0      0      0      0
##    1e+05        0      0     0      0      0      0      0      0      0      0
##    101000       0      0     0      0      0      0      0      0      0      0
##    102000       0      0     0      0      0      0      0      0      0      0
##    103000       0      0     0      0      0      0      0      0      0      0
##    104000       0      0     0      0      0      0      0      0      0      0
##    105000       0      0     0      0      0      0      0      0      0      0
##    106000       0      0     0      0      0      0      0      0      0      0
##    107000       0      0     0      0      0      0      0      0      0      0
##    108000       0      0     0      0      0      0      0      0      0      0
##    109000       0      0     0      0      0      0      0      0      0      0
##    110000       0      0     0      0      0      0      0      0      0      0
##    111000       0      0     0      0      0      0      0      0      0      0
##    112000       0      0     0      0      0      0      0      0      0      0
##    113000       0      0     0      0      0      0      0      0      0      0
##    114000       0      0     0      0      0      0      0      0      0      0
##    115000       0      0     0      0      0      0      0      0      0      0
##    116000       0      0     0      0      0      0      0      0      0      0
##    117000       0      0     0      0      0      0      0      0      0      0
##    118000       0      0     0      0      0      0      0      0      0      0
##    119000       0      0     0      0      0      0      0      0      0      0
##    120000       0      0     0      0      0      0      0      0      0      0
##    121000       0      0     0      0      0      0      0      0      0      0
##    122000       0      0     0      0      0      0      0      0      0      0
##    123000       0      0     0      0      0      0      0      0      0      0
##    124000       0      0     0      0      0      0      0      0      0      0
##    125000       0      0     0      0      0      0      0      0      0      0
##    126000       0      0     0      0      0      0      0      0      0      0
##    127000       0      0     0      0      0      0      0      0      0      0
##    128000       0      0     0      0      0      0      0      0      0      0
##    129000       0      0     0      0      0      0      0      0      0      0
##    130000       0      0     0      0      0      0      0      0      0      0
##    131000       0      0     0      0      0      0      0      0      0      0
##    132000       0      0     0      0      0      0      0      0      0      0
##    133000       0      0     0      0      0      0      0      0      0      0
##    134000       0      0     0      0      0      0      0      0      0      0
##    135000       0      0     0      0      0      0      0      0      0      0
##    136000       0      0     0      0      0      0      0      0      0      0
##    137000       0      0     0      0      0      0      0      0      0      0
##    138000       0      0     0      0      0      0      0      0      0      0
##    139000       0      0     0      0      0      0      0      0      0      0
##    140000       0      0     0      0      0      0      0      0      0      0
##    141000       0      0     0      0      0      0      0      0      0      0
##    142000       0      0     0      0      0      0      0      0      0      0
##    143000       0      0     0      0      0      0      0      0      0      0
##    144000       0      0     0      0      0      0      0      0      0      0
##    145000       0      0     0      0      0      0      0      0      0      0
##    146000       0      0     0      0      0      0      0      0      0      0
##    147000       0      0     0      0      0      0      0      0      0      0
##    148000       0      0     0      0      0      0      0      0      0      0
##    149000       0      0     0      0      0      0      0      0      0      0
##           Reference
## Prediction 308000 309000 310000 311000 312000 313000 314000 315000 316000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 317000 318000 319000 320000 321000 322000 323000 324000 325000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 326000 327000 328000 329000 330000 331000 332000 333000 334000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 335000 336000 337000 338000 339000 340000 341000 342000 343000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 344000 345000 346000 347000 348000 349000 350000 351000 352000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 353000 354000 355000 356000 357000 358000 359000 360000 361000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 362000 363000 364000 365000 366000 367000 368000 369000 370000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 371000 372000 373000 374000 375000 376000 377000 378000 379000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 380000 381000 382000 383000 384000 385000 386000 387000 388000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 389000 390000 391000 392000 393000 394000 395000 396000 397000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 398000 399000 4e+05 401000 402000 403000 404000 405000 406000 407000
##    10000        0      0     0      0      0      0      0      0      0      0
##    11000        0      0     0      0      0      0      0      0      0      0
##    12000        0      0     0      0      0      0      0      0      0      0
##    13000        0      0     0      0      0      0      0      0      0      0
##    14000        0      0     0      0      0      0      0      0      0      0
##    15000        0      0     0      0      0      0      0      0      0      0
##    16000        0      0     0      0      0      0      0      0      0      0
##    17000        0      0     0      0      0      0      0      0      0      0
##    18000        0      0     0      0      0      0      0      0      0      0
##    19000        0      0     0      0      0      0      0      0      0      0
##    20000        0      0     0      0      0      0      0      0      0      0
##    21000        0      0     0      0      0      0      0      0      0      0
##    22000        0      0     0      0      0      0      0      0      0      0
##    23000        0      0     0      0      0      0      0      0      0      0
##    24000        0      0     0      0      0      0      0      0      0      0
##    25000        0      0     0      0      0      0      0      0      0      0
##    26000        0      0     0      0      0      0      0      0      0      0
##    27000        0      0     0      0      0      0      0      0      0      0
##    28000        0      0     0      0      0      0      0      0      0      0
##    29000        0      0     0      0      0      0      0      0      0      0
##    30000        0      0     0      0      0      0      0      0      0      0
##    31000        0      0     0      0      0      0      0      0      0      0
##    32000        0      0     0      0      0      0      0      0      0      0
##    33000        0      0     0      0      0      0      0      0      0      0
##    34000        0      0     0      0      0      0      0      0      0      0
##    35000        0      0     0      0      0      0      0      0      0      0
##    36000        0      0     0      0      0      0      0      0      0      0
##    37000        0      0     0      0      0      0      0      0      0      0
##    38000        0      0     0      0      0      0      0      0      0      0
##    39000        0      0     0      0      0      0      0      0      0      0
##    40000        0      0     0      0      0      0      0      0      0      0
##    41000        0      0     0      0      0      0      0      0      0      0
##    42000        0      0     0      0      0      0      0      0      0      0
##    43000        0      0     0      0      0      0      0      0      0      0
##    44000        0      0     0      0      0      0      0      0      0      0
##    45000        0      0     0      0      0      0      0      0      0      0
##    46000        0      0     0      0      0      0      0      0      0      0
##    47000        0      0     0      0      0      0      0      0      0      0
##    48000        0      0     0      0      0      0      0      0      0      0
##    49000        0      0     0      0      0      0      0      0      0      0
##    50000        0      0     0      0      0      0      0      0      0      0
##    51000        0      0     0      0      0      0      0      0      0      0
##    52000        0      0     0      0      0      0      0      0      0      0
##    53000        0      0     0      0      0      0      0      0      0      0
##    54000        0      0     0      0      0      0      0      0      0      0
##    55000        0      0     0      0      0      0      0      0      0      0
##    56000        0      0     0      0      0      0      0      0      0      0
##    57000        0      0     0      0      0      0      0      0      0      0
##    58000        0      0     0      0      0      0      0      0      0      0
##    59000        0      0     0      0      0      0      0      0      0      0
##    60000        0      0     0      0      0      0      0      0      0      0
##    61000        0      0     0      0      0      0      0      0      0      0
##    62000        0      0     0      0      0      0      0      0      0      0
##    63000        0      0     0      0      0      0      0      0      0      0
##    64000        0      0     0      0      0      0      0      0      0      0
##    65000        0      0     0      0      0      0      0      0      0      0
##    66000        0      0     0      0      0      0      0      0      0      0
##    67000        0      0     0      0      0      0      0      0      0      0
##    68000        0      0     0      0      0      0      0      0      0      0
##    69000        0      0     0      0      0      0      0      0      0      0
##    70000        0      0     0      0      0      0      0      0      0      0
##    71000        0      0     0      0      0      0      0      0      0      0
##    72000        0      0     0      0      0      0      0      0      0      0
##    73000        0      0     0      0      0      0      0      0      0      0
##    74000        0      0     0      0      0      0      0      0      0      0
##    75000        0      0     0      0      0      0      0      0      0      0
##    76000        0      0     0      0      0      0      0      0      0      0
##    77000        0      0     0      0      0      0      0      0      0      0
##    78000        0      0     0      0      0      0      0      0      0      0
##    79000        0      0     0      0      0      0      0      0      0      0
##    80000        0      0     0      0      0      0      0      0      0      0
##    81000        0      0     0      0      0      0      0      0      0      0
##    82000        0      0     0      0      0      0      0      0      0      0
##    83000        0      0     0      0      0      0      0      0      0      0
##    84000        0      0     0      0      0      0      0      0      0      0
##    85000        0      0     0      0      0      0      0      0      0      0
##    86000        0      0     0      0      0      0      0      0      0      0
##    87000        0      0     0      0      0      0      0      0      0      0
##    88000        0      0     0      0      0      0      0      0      0      0
##    89000        0      0     0      0      0      0      0      0      0      0
##    90000        0      0     0      0      0      0      0      0      0      0
##    91000        0      0     0      0      0      0      0      0      0      0
##    92000        0      0     0      0      0      0      0      0      0      0
##    93000        0      0     0      0      0      0      0      0      0      0
##    94000        0      0     0      0      0      0      0      0      0      0
##    95000        0      0     0      0      0      0      0      0      0      0
##    96000        0      0     0      0      0      0      0      0      0      0
##    97000        0      0     0      0      0      0      0      0      0      0
##    98000        0      0     0      0      0      0      0      0      0      0
##    99000        0      0     0      0      0      0      0      0      0      0
##    1e+05        0      0     0      0      0      0      0      0      0      0
##    101000       0      0     0      0      0      0      0      0      0      0
##    102000       0      0     0      0      0      0      0      0      0      0
##    103000       0      0     0      0      0      0      0      0      0      0
##    104000       0      0     0      0      0      0      0      0      0      0
##    105000       0      0     0      0      0      0      0      0      0      0
##    106000       0      0     0      0      0      0      0      0      0      0
##    107000       0      0     0      0      0      0      0      0      0      0
##    108000       0      0     0      0      0      0      0      0      0      0
##    109000       0      0     0      0      0      0      0      0      0      0
##    110000       0      0     0      0      0      0      0      0      0      0
##    111000       0      0     0      0      0      0      0      0      0      0
##    112000       0      0     0      0      0      0      0      0      0      0
##    113000       0      0     0      0      0      0      0      0      0      0
##    114000       0      0     0      0      0      0      0      0      0      0
##    115000       0      0     0      0      0      0      0      0      0      0
##    116000       0      0     0      0      0      0      0      0      0      0
##    117000       0      0     0      0      0      0      0      0      0      0
##    118000       0      0     0      0      0      0      0      0      0      0
##    119000       0      0     0      0      0      0      0      0      0      0
##    120000       0      0     0      0      0      0      0      0      0      0
##    121000       0      0     0      0      0      0      0      0      0      0
##    122000       0      0     0      0      0      0      0      0      0      0
##    123000       0      0     0      0      0      0      0      0      0      0
##    124000       0      0     0      0      0      0      0      0      0      0
##    125000       0      0     0      0      0      0      0      0      0      0
##    126000       0      0     0      0      0      0      0      0      0      0
##    127000       0      0     0      0      0      0      0      0      0      0
##    128000       0      0     0      0      0      0      0      0      0      0
##    129000       0      0     0      0      0      0      0      0      0      0
##    130000       0      0     0      0      0      0      0      0      0      0
##    131000       0      0     0      0      0      0      0      0      0      0
##    132000       0      0     0      0      0      0      0      0      0      0
##    133000       0      0     0      0      0      0      0      0      0      0
##    134000       0      0     0      0      0      0      0      0      0      0
##    135000       0      0     0      0      0      0      0      0      0      0
##    136000       0      0     0      0      0      0      0      0      0      0
##    137000       0      0     0      0      0      0      0      0      0      0
##    138000       0      0     0      0      0      0      0      0      0      0
##    139000       0      0     0      0      0      0      0      0      0      0
##    140000       0      0     0      0      0      0      0      0      0      0
##    141000       0      0     0      0      0      0      0      0      0      0
##    142000       0      0     0      0      0      0      0      0      0      0
##    143000       0      0     0      0      0      0      0      0      0      0
##    144000       0      0     0      0      0      0      0      0      0      0
##    145000       0      0     0      0      0      0      0      0      0      0
##    146000       0      0     0      0      0      0      0      0      0      0
##    147000       0      0     0      0      0      0      0      0      0      0
##    148000       0      0     0      0      0      0      0      0      0      0
##    149000       0      0     0      0      0      0      0      0      0      0
##           Reference
## Prediction 408000 409000 410000 411000 412000 413000 414000 415000 416000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 417000 418000 419000 420000 421000 422000 423000 424000 425000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 426000 427000 428000 429000 430000 431000 432000 433000 434000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 435000 436000 437000 438000 439000 440000 441000 442000 443000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 444000 445000 446000 447000 448000 449000 450000 451000 452000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 453000 454000 455000 456000 457000 458000 459000 460000 461000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 462000 463000 464000 465000 467000 468000 469000 470000 471000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 473000 474000 475000 476000 477000 478000 479000 480000 481000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 482000 483000 484000 485000 486000 487000 488000 489000 490000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 491000 492000 493000 495000 496000 497000 498000 499000 5e+05 501000
##    10000        0      0      0      0      0      0      0      0     0      0
##    11000        0      0      0      0      0      0      0      0     0      0
##    12000        0      0      0      0      0      0      0      0     0      0
##    13000        0      0      0      0      0      0      0      0     0      0
##    14000        0      0      0      0      0      0      0      0     0      0
##    15000        0      0      0      0      0      0      0      0     0      0
##    16000        0      0      0      0      0      0      0      0     0      0
##    17000        0      0      0      0      0      0      0      0     0      0
##    18000        0      0      0      0      0      0      0      0     0      0
##    19000        0      0      0      0      0      0      0      0     0      0
##    20000        0      0      0      0      0      0      0      0     0      0
##    21000        0      0      0      0      0      0      0      0     0      0
##    22000        0      0      0      0      0      0      0      0     0      0
##    23000        0      0      0      0      0      0      0      0     0      0
##    24000        0      0      0      0      0      0      0      0     0      0
##    25000        0      0      0      0      0      0      0      0     0      0
##    26000        0      0      0      0      0      0      0      0     0      0
##    27000        0      0      0      0      0      0      0      0     0      0
##    28000        0      0      0      0      0      0      0      0     0      0
##    29000        0      0      0      0      0      0      0      0     0      0
##    30000        0      0      0      0      0      0      0      0     0      0
##    31000        0      0      0      0      0      0      0      0     0      0
##    32000        0      0      0      0      0      0      0      0     0      0
##    33000        0      0      0      0      0      0      0      0     0      0
##    34000        0      0      0      0      0      0      0      0     0      0
##    35000        0      0      0      0      0      0      0      0     0      0
##    36000        0      0      0      0      0      0      0      0     0      0
##    37000        0      0      0      0      0      0      0      0     0      0
##    38000        0      0      0      0      0      0      0      0     0      0
##    39000        0      0      0      0      0      0      0      0     0      0
##    40000        0      0      0      0      0      0      0      0     0      0
##    41000        0      0      0      0      0      0      0      0     0      0
##    42000        0      0      0      0      0      0      0      0     0      0
##    43000        0      0      0      0      0      0      0      0     0      0
##    44000        0      0      0      0      0      0      0      0     0      0
##    45000        0      0      0      0      0      0      0      0     0      0
##    46000        0      0      0      0      0      0      0      0     0      0
##    47000        0      0      0      0      0      0      0      0     0      0
##    48000        0      0      0      0      0      0      0      0     0      0
##    49000        0      0      0      0      0      0      0      0     0      0
##    50000        0      0      0      0      0      0      0      0     0      0
##    51000        0      0      0      0      0      0      0      0     0      0
##    52000        0      0      0      0      0      0      0      0     0      0
##    53000        0      0      0      0      0      0      0      0     0      0
##    54000        0      0      0      0      0      0      0      0     0      0
##    55000        0      0      0      0      0      0      0      0     0      0
##    56000        0      0      0      0      0      0      0      0     0      0
##    57000        0      0      0      0      0      0      0      0     0      0
##    58000        0      0      0      0      0      0      0      0     0      0
##    59000        0      0      0      0      0      0      0      0     0      0
##    60000        0      0      0      0      0      0      0      0     0      0
##    61000        0      0      0      0      0      0      0      0     0      0
##    62000        0      0      0      0      0      0      0      0     0      0
##    63000        0      0      0      0      0      0      0      0     0      0
##    64000        0      0      0      0      0      0      0      0     0      0
##    65000        0      0      0      0      0      0      0      0     0      0
##    66000        0      0      0      0      0      0      0      0     0      0
##    67000        0      0      0      0      0      0      0      0     0      0
##    68000        0      0      0      0      0      0      0      0     0      0
##    69000        0      0      0      0      0      0      0      0     0      0
##    70000        0      0      0      0      0      0      0      0     0      0
##    71000        0      0      0      0      0      0      0      0     0      0
##    72000        0      0      0      0      0      0      0      0     0      0
##    73000        0      0      0      0      0      0      0      0     0      0
##    74000        0      0      0      0      0      0      0      0     0      0
##    75000        0      0      0      0      0      0      0      0     0      0
##    76000        0      0      0      0      0      0      0      0     0      0
##    77000        0      0      0      0      0      0      0      0     0      0
##    78000        0      0      0      0      0      0      0      0     0      0
##    79000        0      0      0      0      0      0      0      0     0      0
##    80000        0      0      0      0      0      0      0      0     0      0
##    81000        0      0      0      0      0      0      0      0     0      0
##    82000        0      0      0      0      0      0      0      0     0      0
##    83000        0      0      0      0      0      0      0      0     0      0
##    84000        0      0      0      0      0      0      0      0     0      0
##    85000        0      0      0      0      0      0      0      0     0      0
##    86000        0      0      0      0      0      0      0      0     0      0
##    87000        0      0      0      0      0      0      0      0     0      0
##    88000        0      0      0      0      0      0      0      0     0      0
##    89000        0      0      0      0      0      0      0      0     0      0
##    90000        0      0      0      0      0      0      0      0     0      0
##    91000        0      0      0      0      0      0      0      0     0      0
##    92000        0      0      0      0      0      0      0      0     0      0
##    93000        0      0      0      0      0      0      0      0     0      0
##    94000        0      0      0      0      0      0      0      0     0      0
##    95000        0      0      0      0      0      0      0      0     0      0
##    96000        0      0      0      0      0      0      0      0     0      0
##    97000        0      0      0      0      0      0      0      0     0      0
##    98000        0      0      0      0      0      0      0      0     0      0
##    99000        0      0      0      0      0      0      0      0     0      0
##    1e+05        0      0      0      0      0      0      0      0     0      0
##    101000       0      0      0      0      0      0      0      0     0      0
##    102000       0      0      0      0      0      0      0      0     0      0
##    103000       0      0      0      0      0      0      0      0     0      0
##    104000       0      0      0      0      0      0      0      0     0      0
##    105000       0      0      0      0      0      0      0      0     0      0
##    106000       0      0      0      0      0      0      0      0     0      0
##    107000       0      0      0      0      0      0      0      0     0      0
##    108000       0      0      0      0      0      0      0      0     0      0
##    109000       0      0      0      0      0      0      0      0     0      0
##    110000       0      0      0      0      0      0      0      0     0      0
##    111000       0      0      0      0      0      0      0      0     0      0
##    112000       0      0      0      0      0      0      0      0     0      0
##    113000       0      0      0      0      0      0      0      0     0      0
##    114000       0      0      0      0      0      0      0      0     0      0
##    115000       0      0      0      0      0      0      0      0     0      0
##    116000       0      0      0      0      0      0      0      0     0      0
##    117000       0      0      0      0      0      0      0      0     0      0
##    118000       0      0      0      0      0      0      0      0     0      0
##    119000       0      0      0      0      0      0      0      0     0      0
##    120000       0      0      0      0      0      0      0      0     0      0
##    121000       0      0      0      0      0      0      0      0     0      0
##    122000       0      0      0      0      0      0      0      0     0      0
##    123000       0      0      0      0      0      0      0      0     0      0
##    124000       0      0      0      0      0      0      0      0     0      0
##    125000       0      0      0      0      0      0      0      0     0      0
##    126000       0      0      0      0      0      0      0      0     0      0
##    127000       0      0      0      0      0      0      0      0     0      0
##    128000       0      0      0      0      0      0      0      0     0      0
##    129000       0      0      0      0      0      0      0      0     0      0
##    130000       0      0      0      0      0      0      0      0     0      0
##    131000       0      0      0      0      0      0      0      0     0      0
##    132000       0      0      0      0      0      0      0      0     0      0
##    133000       0      0      0      0      0      0      0      0     0      0
##    134000       0      0      0      0      0      0      0      0     0      0
##    135000       0      0      0      0      0      0      0      0     0      0
##    136000       0      0      0      0      0      0      0      0     0      0
##    137000       0      0      0      0      0      0      0      0     0      0
##    138000       0      0      0      0      0      0      0      0     0      0
##    139000       0      0      0      0      0      0      0      0     0      0
##    140000       0      0      0      0      0      0      0      0     0      0
##    141000       0      0      0      0      0      0      0      0     0      0
##    142000       0      0      0      0      0      0      0      0     0      0
##    143000       0      0      0      0      0      0      0      0     0      0
##    144000       0      0      0      0      0      0      0      0     0      0
##    145000       0      0      0      0      0      0      0      0     0      0
##    146000       0      0      0      0      0      0      0      0     0      0
##    147000       0      0      0      0      0      0      0      0     0      0
##    148000       0      0      0      0      0      0      0      0     0      0
##    149000       0      0      0      0      0      0      0      0     0      0
##           Reference
## Prediction 502000 503000 504000 505000 506000 507000 508000 509000 510000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 511000 512000 513000 514000 515000 517000 518000 519000 520000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 522000 523000 524000 525000 526000 527000 528000 529000 530000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 531000 532000 533000 534000 535000 536000 538000 539000 540000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 541000 543000 545000 546000 547000 549000 550000 551000 552000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 553000 555000 556000 557000 559000 560000 561000 562000 563000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 564000 565000 566000 567000 569000 570000 571000 572000 575000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 577000 580000 584000 585000 586000 588000 589000 590000 594000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 595000 596000 598000 599000 6e+05 601000 602000 605000 606000 607000
##    10000        0      0      0      0     0      0      0      0      0      0
##    11000        0      0      0      0     0      0      0      0      0      0
##    12000        0      0      0      0     0      0      0      0      0      0
##    13000        0      0      0      0     0      0      0      0      0      0
##    14000        0      0      0      0     0      0      0      0      0      0
##    15000        0      0      0      0     0      0      0      0      0      0
##    16000        0      0      0      0     0      0      0      0      0      0
##    17000        0      0      0      0     0      0      0      0      0      0
##    18000        0      0      0      0     0      0      0      0      0      0
##    19000        0      0      0      0     0      0      0      0      0      0
##    20000        0      0      0      0     0      0      0      0      0      0
##    21000        0      0      0      0     0      0      0      0      0      0
##    22000        0      0      0      0     0      0      0      0      0      0
##    23000        0      0      0      0     0      0      0      0      0      0
##    24000        0      0      0      0     0      0      0      0      0      0
##    25000        0      0      0      0     0      0      0      0      0      0
##    26000        0      0      0      0     0      0      0      0      0      0
##    27000        0      0      0      0     0      0      0      0      0      0
##    28000        0      0      0      0     0      0      0      0      0      0
##    29000        0      0      0      0     0      0      0      0      0      0
##    30000        0      0      0      0     0      0      0      0      0      0
##    31000        0      0      0      0     0      0      0      0      0      0
##    32000        0      0      0      0     0      0      0      0      0      0
##    33000        0      0      0      0     0      0      0      0      0      0
##    34000        0      0      0      0     0      0      0      0      0      0
##    35000        0      0      0      0     0      0      0      0      0      0
##    36000        0      0      0      0     0      0      0      0      0      0
##    37000        0      0      0      0     0      0      0      0      0      0
##    38000        0      0      0      0     0      0      0      0      0      0
##    39000        0      0      0      0     0      0      0      0      0      0
##    40000        0      0      0      0     0      0      0      0      0      0
##    41000        0      0      0      0     0      0      0      0      0      0
##    42000        0      0      0      0     0      0      0      0      0      0
##    43000        0      0      0      0     0      0      0      0      0      0
##    44000        0      0      0      0     0      0      0      0      0      0
##    45000        0      0      0      0     0      0      0      0      0      0
##    46000        0      0      0      0     0      0      0      0      0      0
##    47000        0      0      0      0     0      0      0      0      0      0
##    48000        0      0      0      0     0      0      0      0      0      0
##    49000        0      0      0      0     0      0      0      0      0      0
##    50000        0      0      0      0     0      0      0      0      0      0
##    51000        0      0      0      0     0      0      0      0      0      0
##    52000        0      0      0      0     0      0      0      0      0      0
##    53000        0      0      0      0     0      0      0      0      0      0
##    54000        0      0      0      0     0      0      0      0      0      0
##    55000        0      0      0      0     0      0      0      0      0      0
##    56000        0      0      0      0     0      0      0      0      0      0
##    57000        0      0      0      0     0      0      0      0      0      0
##    58000        0      0      0      0     0      0      0      0      0      0
##    59000        0      0      0      0     0      0      0      0      0      0
##    60000        0      0      0      0     0      0      0      0      0      0
##    61000        0      0      0      0     0      0      0      0      0      0
##    62000        0      0      0      0     0      0      0      0      0      0
##    63000        0      0      0      0     0      0      0      0      0      0
##    64000        0      0      0      0     0      0      0      0      0      0
##    65000        0      0      0      0     0      0      0      0      0      0
##    66000        0      0      0      0     0      0      0      0      0      0
##    67000        0      0      0      0     0      0      0      0      0      0
##    68000        0      0      0      0     0      0      0      0      0      0
##    69000        0      0      0      0     0      0      0      0      0      0
##    70000        0      0      0      0     0      0      0      0      0      0
##    71000        0      0      0      0     0      0      0      0      0      0
##    72000        0      0      0      0     0      0      0      0      0      0
##    73000        0      0      0      0     0      0      0      0      0      0
##    74000        0      0      0      0     0      0      0      0      0      0
##    75000        0      0      0      0     0      0      0      0      0      0
##    76000        0      0      0      0     0      0      0      0      0      0
##    77000        0      0      0      0     0      0      0      0      0      0
##    78000        0      0      0      0     0      0      0      0      0      0
##    79000        0      0      0      0     0      0      0      0      0      0
##    80000        0      0      0      0     0      0      0      0      0      0
##    81000        0      0      0      0     0      0      0      0      0      0
##    82000        0      0      0      0     0      0      0      0      0      0
##    83000        0      0      0      0     0      0      0      0      0      0
##    84000        0      0      0      0     0      0      0      0      0      0
##    85000        0      0      0      0     0      0      0      0      0      0
##    86000        0      0      0      0     0      0      0      0      0      0
##    87000        0      0      0      0     0      0      0      0      0      0
##    88000        0      0      0      0     0      0      0      0      0      0
##    89000        0      0      0      0     0      0      0      0      0      0
##    90000        0      0      0      0     0      0      0      0      0      0
##    91000        0      0      0      0     0      0      0      0      0      0
##    92000        0      0      0      0     0      0      0      0      0      0
##    93000        0      0      0      0     0      0      0      0      0      0
##    94000        0      0      0      0     0      0      0      0      0      0
##    95000        0      0      0      0     0      0      0      0      0      0
##    96000        0      0      0      0     0      0      0      0      0      0
##    97000        0      0      0      0     0      0      0      0      0      0
##    98000        0      0      0      0     0      0      0      0      0      0
##    99000        0      0      0      0     0      0      0      0      0      0
##    1e+05        0      0      0      0     0      0      0      0      0      0
##    101000       0      0      0      0     0      0      0      0      0      0
##    102000       0      0      0      0     0      0      0      0      0      0
##    103000       0      0      0      0     0      0      0      0      0      0
##    104000       0      0      0      0     0      0      0      0      0      0
##    105000       0      0      0      0     0      0      0      0      0      0
##    106000       0      0      0      0     0      0      0      0      0      0
##    107000       0      0      0      0     0      0      0      0      0      0
##    108000       0      0      0      0     0      0      0      0      0      0
##    109000       0      0      0      0     0      0      0      0      0      0
##    110000       0      0      0      0     0      0      0      0      0      0
##    111000       0      0      0      0     0      0      0      0      0      0
##    112000       0      0      0      0     0      0      0      0      0      0
##    113000       0      0      0      0     0      0      0      0      0      0
##    114000       0      0      0      0     0      0      0      0      0      0
##    115000       0      0      0      0     0      0      0      0      0      0
##    116000       0      0      0      0     0      0      0      0      0      0
##    117000       0      0      0      0     0      0      0      0      0      0
##    118000       0      0      0      0     0      0      0      0      0      0
##    119000       0      0      0      0     0      0      0      0      0      0
##    120000       0      0      0      0     0      0      0      0      0      0
##    121000       0      0      0      0     0      0      0      0      0      0
##    122000       0      0      0      0     0      0      0      0      0      0
##    123000       0      0      0      0     0      0      0      0      0      0
##    124000       0      0      0      0     0      0      0      0      0      0
##    125000       0      0      0      0     0      0      0      0      0      0
##    126000       0      0      0      0     0      0      0      0      0      0
##    127000       0      0      0      0     0      0      0      0      0      0
##    128000       0      0      0      0     0      0      0      0      0      0
##    129000       0      0      0      0     0      0      0      0      0      0
##    130000       0      0      0      0     0      0      0      0      0      0
##    131000       0      0      0      0     0      0      0      0      0      0
##    132000       0      0      0      0     0      0      0      0      0      0
##    133000       0      0      0      0     0      0      0      0      0      0
##    134000       0      0      0      0     0      0      0      0      0      0
##    135000       0      0      0      0     0      0      0      0      0      0
##    136000       0      0      0      0     0      0      0      0      0      0
##    137000       0      0      0      0     0      0      0      0      0      0
##    138000       0      0      0      0     0      0      0      0      0      0
##    139000       0      0      0      0     0      0      0      0      0      0
##    140000       0      0      0      0     0      0      0      0      0      0
##    141000       0      0      0      0     0      0      0      0      0      0
##    142000       0      0      0      0     0      0      0      0      0      0
##    143000       0      0      0      0     0      0      0      0      0      0
##    144000       0      0      0      0     0      0      0      0      0      0
##    145000       0      0      0      0     0      0      0      0      0      0
##    146000       0      0      0      0     0      0      0      0      0      0
##    147000       0      0      0      0     0      0      0      0      0      0
##    148000       0      0      0      0     0      0      0      0      0      0
##    149000       0      0      0      0     0      0      0      0      0      0
##           Reference
## Prediction 608000 610000 612000 613000 615000 616000 618000 619000 620000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 621000 623000 625000 626000 628000 630000 631000 633000 640000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 642000 644000 645000 648000 650000 653000 654000 655000 658000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 659000 660000 662000 665000 669000 670000 671000 672000 674000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 675000 677000 680000 682000 683000 690000 692000 694000 695000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 696000 697000 7e+05 704000 706000 710000 713000 716000 717000 720000
##    10000        0      0     0      0      0      0      0      0      0      0
##    11000        0      0     0      0      0      0      0      0      0      0
##    12000        0      0     0      0      0      0      0      0      0      0
##    13000        0      0     0      0      0      0      0      0      0      0
##    14000        0      0     0      0      0      0      0      0      0      0
##    15000        0      0     0      0      0      0      0      0      0      0
##    16000        0      0     0      0      0      0      0      0      0      0
##    17000        0      0     0      0      0      0      0      0      0      0
##    18000        0      0     0      0      0      0      0      0      0      0
##    19000        0      0     0      0      0      0      0      0      0      0
##    20000        0      0     0      0      0      0      0      0      0      0
##    21000        0      0     0      0      0      0      0      0      0      0
##    22000        0      0     0      0      0      0      0      0      0      0
##    23000        0      0     0      0      0      0      0      0      0      0
##    24000        0      0     0      0      0      0      0      0      0      0
##    25000        0      0     0      0      0      0      0      0      0      0
##    26000        0      0     0      0      0      0      0      0      0      0
##    27000        0      0     0      0      0      0      0      0      0      0
##    28000        0      0     0      0      0      0      0      0      0      0
##    29000        0      0     0      0      0      0      0      0      0      0
##    30000        0      0     0      0      0      0      0      0      0      0
##    31000        0      0     0      0      0      0      0      0      0      0
##    32000        0      0     0      0      0      0      0      0      0      0
##    33000        0      0     0      0      0      0      0      0      0      0
##    34000        0      0     0      0      0      0      0      0      0      0
##    35000        0      0     0      0      0      0      0      0      0      0
##    36000        0      0     0      0      0      0      0      0      0      0
##    37000        0      0     0      0      0      0      0      0      0      0
##    38000        0      0     0      0      0      0      0      0      0      0
##    39000        0      0     0      0      0      0      0      0      0      0
##    40000        0      0     0      0      0      0      0      0      0      0
##    41000        0      0     0      0      0      0      0      0      0      0
##    42000        0      0     0      0      0      0      0      0      0      0
##    43000        0      0     0      0      0      0      0      0      0      0
##    44000        0      0     0      0      0      0      0      0      0      0
##    45000        0      0     0      0      0      0      0      0      0      0
##    46000        0      0     0      0      0      0      0      0      0      0
##    47000        0      0     0      0      0      0      0      0      0      0
##    48000        0      0     0      0      0      0      0      0      0      0
##    49000        0      0     0      0      0      0      0      0      0      0
##    50000        0      0     0      0      0      0      0      0      0      0
##    51000        0      0     0      0      0      0      0      0      0      0
##    52000        0      0     0      0      0      0      0      0      0      0
##    53000        0      0     0      0      0      0      0      0      0      0
##    54000        0      0     0      0      0      0      0      0      0      0
##    55000        0      0     0      0      0      0      0      0      0      0
##    56000        0      0     0      0      0      0      0      0      0      0
##    57000        0      0     0      0      0      0      0      0      0      0
##    58000        0      0     0      0      0      0      0      0      0      0
##    59000        0      0     0      0      0      0      0      0      0      0
##    60000        0      0     0      0      0      0      0      0      0      0
##    61000        0      0     0      0      0      0      0      0      0      0
##    62000        0      0     0      0      0      0      0      0      0      0
##    63000        0      0     0      0      0      0      0      0      0      0
##    64000        0      0     0      0      0      0      0      0      0      0
##    65000        0      0     0      0      0      0      0      0      0      0
##    66000        0      0     0      0      0      0      0      0      0      0
##    67000        0      0     0      0      0      0      0      0      0      0
##    68000        0      0     0      0      0      0      0      0      0      0
##    69000        0      0     0      0      0      0      0      0      0      0
##    70000        0      0     0      0      0      0      0      0      0      0
##    71000        0      0     0      0      0      0      0      0      0      0
##    72000        0      0     0      0      0      0      0      0      0      0
##    73000        0      0     0      0      0      0      0      0      0      0
##    74000        0      0     0      0      0      0      0      0      0      0
##    75000        0      0     0      0      0      0      0      0      0      0
##    76000        0      0     0      0      0      0      0      0      0      0
##    77000        0      0     0      0      0      0      0      0      0      0
##    78000        0      0     0      0      0      0      0      0      0      0
##    79000        0      0     0      0      0      0      0      0      0      0
##    80000        0      0     0      0      0      0      0      0      0      0
##    81000        0      0     0      0      0      0      0      0      0      0
##    82000        0      0     0      0      0      0      0      0      0      0
##    83000        0      0     0      0      0      0      0      0      0      0
##    84000        0      0     0      0      0      0      0      0      0      0
##    85000        0      0     0      0      0      0      0      0      0      0
##    86000        0      0     0      0      0      0      0      0      0      0
##    87000        0      0     0      0      0      0      0      0      0      0
##    88000        0      0     0      0      0      0      0      0      0      0
##    89000        0      0     0      0      0      0      0      0      0      0
##    90000        0      0     0      0      0      0      0      0      0      0
##    91000        0      0     0      0      0      0      0      0      0      0
##    92000        0      0     0      0      0      0      0      0      0      0
##    93000        0      0     0      0      0      0      0      0      0      0
##    94000        0      0     0      0      0      0      0      0      0      0
##    95000        0      0     0      0      0      0      0      0      0      0
##    96000        0      0     0      0      0      0      0      0      0      0
##    97000        0      0     0      0      0      0      0      0      0      0
##    98000        0      0     0      0      0      0      0      0      0      0
##    99000        0      0     0      0      0      0      0      0      0      0
##    1e+05        0      0     0      0      0      0      0      0      0      0
##    101000       0      0     0      0      0      0      0      0      0      0
##    102000       0      0     0      0      0      0      0      0      0      0
##    103000       0      0     0      0      0      0      0      0      0      0
##    104000       0      0     0      0      0      0      0      0      0      0
##    105000       0      0     0      0      0      0      0      0      0      0
##    106000       0      0     0      0      0      0      0      0      0      0
##    107000       0      0     0      0      0      0      0      0      0      0
##    108000       0      0     0      0      0      0      0      0      0      0
##    109000       0      0     0      0      0      0      0      0      0      0
##    110000       0      0     0      0      0      0      0      0      0      0
##    111000       0      0     0      0      0      0      0      0      0      0
##    112000       0      0     0      0      0      0      0      0      0      0
##    113000       0      0     0      0      0      0      0      0      0      0
##    114000       0      0     0      0      0      0      0      0      0      0
##    115000       0      0     0      0      0      0      0      0      0      0
##    116000       0      0     0      0      0      0      0      0      0      0
##    117000       0      0     0      0      0      0      0      0      0      0
##    118000       0      0     0      0      0      0      0      0      0      0
##    119000       0      0     0      0      0      0      0      0      0      0
##    120000       0      0     0      0      0      0      0      0      0      0
##    121000       0      0     0      0      0      0      0      0      0      0
##    122000       0      0     0      0      0      0      0      0      0      0
##    123000       0      0     0      0      0      0      0      0      0      0
##    124000       0      0     0      0      0      0      0      0      0      0
##    125000       0      0     0      0      0      0      0      0      0      0
##    126000       0      0     0      0      0      0      0      0      0      0
##    127000       0      0     0      0      0      0      0      0      0      0
##    128000       0      0     0      0      0      0      0      0      0      0
##    129000       0      0     0      0      0      0      0      0      0      0
##    130000       0      0     0      0      0      0      0      0      0      0
##    131000       0      0     0      0      0      0      0      0      0      0
##    132000       0      0     0      0      0      0      0      0      0      0
##    133000       0      0     0      0      0      0      0      0      0      0
##    134000       0      0     0      0      0      0      0      0      0      0
##    135000       0      0     0      0      0      0      0      0      0      0
##    136000       0      0     0      0      0      0      0      0      0      0
##    137000       0      0     0      0      0      0      0      0      0      0
##    138000       0      0     0      0      0      0      0      0      0      0
##    139000       0      0     0      0      0      0      0      0      0      0
##    140000       0      0     0      0      0      0      0      0      0      0
##    141000       0      0     0      0      0      0      0      0      0      0
##    142000       0      0     0      0      0      0      0      0      0      0
##    143000       0      0     0      0      0      0      0      0      0      0
##    144000       0      0     0      0      0      0      0      0      0      0
##    145000       0      0     0      0      0      0      0      0      0      0
##    146000       0      0     0      0      0      0      0      0      0      0
##    147000       0      0     0      0      0      0      0      0      0      0
##    148000       0      0     0      0      0      0      0      0      0      0
##    149000       0      0     0      0      0      0      0      0      0      0
##           Reference
## Prediction 721000 724000 726000 727000 730000 735000 737000 740000 744000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 750000 751000 754000 759000 760000 765000 766000 767000 770000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 775000 780000 788000 789000 790000 798000 799000 8e+05 802000 805000
##    10000        0      0      0      0      0      0      0     0      0      0
##    11000        0      0      0      0      0      0      0     0      0      0
##    12000        0      0      0      0      0      0      0     0      0      0
##    13000        0      0      0      0      0      0      0     0      0      0
##    14000        0      0      0      0      0      0      0     0      0      0
##    15000        0      0      0      0      0      0      0     0      0      0
##    16000        0      0      0      0      0      0      0     0      0      0
##    17000        0      0      0      0      0      0      0     0      0      0
##    18000        0      0      0      0      0      0      0     0      0      0
##    19000        0      0      0      0      0      0      0     0      0      0
##    20000        0      0      0      0      0      0      0     0      0      0
##    21000        0      0      0      0      0      0      0     0      0      0
##    22000        0      0      0      0      0      0      0     0      0      0
##    23000        0      0      0      0      0      0      0     0      0      0
##    24000        0      0      0      0      0      0      0     0      0      0
##    25000        0      0      0      0      0      0      0     0      0      0
##    26000        0      0      0      0      0      0      0     0      0      0
##    27000        0      0      0      0      0      0      0     0      0      0
##    28000        0      0      0      0      0      0      0     0      0      0
##    29000        0      0      0      0      0      0      0     0      0      0
##    30000        0      0      0      0      0      0      0     0      0      0
##    31000        0      0      0      0      0      0      0     0      0      0
##    32000        0      0      0      0      0      0      0     0      0      0
##    33000        0      0      0      0      0      0      0     0      0      0
##    34000        0      0      0      0      0      0      0     0      0      0
##    35000        0      0      0      0      0      0      0     0      0      0
##    36000        0      0      0      0      0      0      0     0      0      0
##    37000        0      0      0      0      0      0      0     0      0      0
##    38000        0      0      0      0      0      0      0     0      0      0
##    39000        0      0      0      0      0      0      0     0      0      0
##    40000        0      0      0      0      0      0      0     0      0      0
##    41000        0      0      0      0      0      0      0     0      0      0
##    42000        0      0      0      0      0      0      0     0      0      0
##    43000        0      0      0      0      0      0      0     0      0      0
##    44000        0      0      0      0      0      0      0     0      0      0
##    45000        0      0      0      0      0      0      0     0      0      0
##    46000        0      0      0      0      0      0      0     0      0      0
##    47000        0      0      0      0      0      0      0     0      0      0
##    48000        0      0      0      0      0      0      0     0      0      0
##    49000        0      0      0      0      0      0      0     0      0      0
##    50000        0      0      0      0      0      0      0     0      0      0
##    51000        0      0      0      0      0      0      0     0      0      0
##    52000        0      0      0      0      0      0      0     0      0      0
##    53000        0      0      0      0      0      0      0     0      0      0
##    54000        0      0      0      0      0      0      0     0      0      0
##    55000        0      0      0      0      0      0      0     0      0      0
##    56000        0      0      0      0      0      0      0     0      0      0
##    57000        0      0      0      0      0      0      0     0      0      0
##    58000        0      0      0      0      0      0      0     0      0      0
##    59000        0      0      0      0      0      0      0     0      0      0
##    60000        0      0      0      0      0      0      0     0      0      0
##    61000        0      0      0      0      0      0      0     0      0      0
##    62000        0      0      0      0      0      0      0     0      0      0
##    63000        0      0      0      0      0      0      0     0      0      0
##    64000        0      0      0      0      0      0      0     0      0      0
##    65000        0      0      0      0      0      0      0     0      0      0
##    66000        0      0      0      0      0      0      0     0      0      0
##    67000        0      0      0      0      0      0      0     0      0      0
##    68000        0      0      0      0      0      0      0     0      0      0
##    69000        0      0      0      0      0      0      0     0      0      0
##    70000        0      0      0      0      0      0      0     0      0      0
##    71000        0      0      0      0      0      0      0     0      0      0
##    72000        0      0      0      0      0      0      0     0      0      0
##    73000        0      0      0      0      0      0      0     0      0      0
##    74000        0      0      0      0      0      0      0     0      0      0
##    75000        0      0      0      0      0      0      0     0      0      0
##    76000        0      0      0      0      0      0      0     0      0      0
##    77000        0      0      0      0      0      0      0     0      0      0
##    78000        0      0      0      0      0      0      0     0      0      0
##    79000        0      0      0      0      0      0      0     0      0      0
##    80000        0      0      0      0      0      0      0     0      0      0
##    81000        0      0      0      0      0      0      0     0      0      0
##    82000        0      0      0      0      0      0      0     0      0      0
##    83000        0      0      0      0      0      0      0     0      0      0
##    84000        0      0      0      0      0      0      0     0      0      0
##    85000        0      0      0      0      0      0      0     0      0      0
##    86000        0      0      0      0      0      0      0     0      0      0
##    87000        0      0      0      0      0      0      0     0      0      0
##    88000        0      0      0      0      0      0      0     0      0      0
##    89000        0      0      0      0      0      0      0     0      0      0
##    90000        0      0      0      0      0      0      0     0      0      0
##    91000        0      0      0      0      0      0      0     0      0      0
##    92000        0      0      0      0      0      0      0     0      0      0
##    93000        0      0      0      0      0      0      0     0      0      0
##    94000        0      0      0      0      0      0      0     0      0      0
##    95000        0      0      0      0      0      0      0     0      0      0
##    96000        0      0      0      0      0      0      0     0      0      0
##    97000        0      0      0      0      0      0      0     0      0      0
##    98000        0      0      0      0      0      0      0     0      0      0
##    99000        0      0      0      0      0      0      0     0      0      0
##    1e+05        0      0      0      0      0      0      0     0      0      0
##    101000       0      0      0      0      0      0      0     0      0      0
##    102000       0      0      0      0      0      0      0     0      0      0
##    103000       0      0      0      0      0      0      0     0      0      0
##    104000       0      0      0      0      0      0      0     0      0      0
##    105000       0      0      0      0      0      0      0     0      0      0
##    106000       0      0      0      0      0      0      0     0      0      0
##    107000       0      0      0      0      0      0      0     0      0      0
##    108000       0      0      0      0      0      0      0     0      0      0
##    109000       0      0      0      0      0      0      0     0      0      0
##    110000       0      0      0      0      0      0      0     0      0      0
##    111000       0      0      0      0      0      0      0     0      0      0
##    112000       0      0      0      0      0      0      0     0      0      0
##    113000       0      0      0      0      0      0      0     0      0      0
##    114000       0      0      0      0      0      0      0     0      0      0
##    115000       0      0      0      0      0      0      0     0      0      0
##    116000       0      0      0      0      0      0      0     0      0      0
##    117000       0      0      0      0      0      0      0     0      0      0
##    118000       0      0      0      0      0      0      0     0      0      0
##    119000       0      0      0      0      0      0      0     0      0      0
##    120000       0      0      0      0      0      0      0     0      0      0
##    121000       0      0      0      0      0      0      0     0      0      0
##    122000       0      0      0      0      0      0      0     0      0      0
##    123000       0      0      0      0      0      0      0     0      0      0
##    124000       0      0      0      0      0      0      0     0      0      0
##    125000       0      0      0      0      0      0      0     0      0      0
##    126000       0      0      0      0      0      0      0     0      0      0
##    127000       0      0      0      0      0      0      0     0      0      0
##    128000       0      0      0      0      0      0      0     0      0      0
##    129000       0      0      0      0      0      0      0     0      0      0
##    130000       0      0      0      0      0      0      0     0      0      0
##    131000       0      0      0      0      0      0      0     0      0      0
##    132000       0      0      0      0      0      0      0     0      0      0
##    133000       0      0      0      0      0      0      0     0      0      0
##    134000       0      0      0      0      0      0      0     0      0      0
##    135000       0      0      0      0      0      0      0     0      0      0
##    136000       0      0      0      0      0      0      0     0      0      0
##    137000       0      0      0      0      0      0      0     0      0      0
##    138000       0      0      0      0      0      0      0     0      0      0
##    139000       0      0      0      0      0      0      0     0      0      0
##    140000       0      0      0      0      0      0      0     0      0      0
##    141000       0      0      0      0      0      0      0     0      0      0
##    142000       0      0      0      0      0      0      0     0      0      0
##    143000       0      0      0      0      0      0      0     0      0      0
##    144000       0      0      0      0      0      0      0     0      0      0
##    145000       0      0      0      0      0      0      0     0      0      0
##    146000       0      0      0      0      0      0      0     0      0      0
##    147000       0      0      0      0      0      0      0     0      0      0
##    148000       0      0      0      0      0      0      0     0      0      0
##    149000       0      0      0      0      0      0      0     0      0      0
##           Reference
## Prediction 807000 810000 820000 823000 824000 825000 838000 840000 842000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 850000 851000 855000 856000 861000 865000 870000 875000 885000
##    10000        0      0      0      0      0      0      0      0      0
##    11000        0      0      0      0      0      0      0      0      0
##    12000        0      0      0      0      0      0      0      0      0
##    13000        0      0      0      0      0      0      0      0      0
##    14000        0      0      0      0      0      0      0      0      0
##    15000        0      0      0      0      0      0      0      0      0
##    16000        0      0      0      0      0      0      0      0      0
##    17000        0      0      0      0      0      0      0      0      0
##    18000        0      0      0      0      0      0      0      0      0
##    19000        0      0      0      0      0      0      0      0      0
##    20000        0      0      0      0      0      0      0      0      0
##    21000        0      0      0      0      0      0      0      0      0
##    22000        0      0      0      0      0      0      0      0      0
##    23000        0      0      0      0      0      0      0      0      0
##    24000        0      0      0      0      0      0      0      0      0
##    25000        0      0      0      0      0      0      0      0      0
##    26000        0      0      0      0      0      0      0      0      0
##    27000        0      0      0      0      0      0      0      0      0
##    28000        0      0      0      0      0      0      0      0      0
##    29000        0      0      0      0      0      0      0      0      0
##    30000        0      0      0      0      0      0      0      0      0
##    31000        0      0      0      0      0      0      0      0      0
##    32000        0      0      0      0      0      0      0      0      0
##    33000        0      0      0      0      0      0      0      0      0
##    34000        0      0      0      0      0      0      0      0      0
##    35000        0      0      0      0      0      0      0      0      0
##    36000        0      0      0      0      0      0      0      0      0
##    37000        0      0      0      0      0      0      0      0      0
##    38000        0      0      0      0      0      0      0      0      0
##    39000        0      0      0      0      0      0      0      0      0
##    40000        0      0      0      0      0      0      0      0      0
##    41000        0      0      0      0      0      0      0      0      0
##    42000        0      0      0      0      0      0      0      0      0
##    43000        0      0      0      0      0      0      0      0      0
##    44000        0      0      0      0      0      0      0      0      0
##    45000        0      0      0      0      0      0      0      0      0
##    46000        0      0      0      0      0      0      0      0      0
##    47000        0      0      0      0      0      0      0      0      0
##    48000        0      0      0      0      0      0      0      0      0
##    49000        0      0      0      0      0      0      0      0      0
##    50000        0      0      0      0      0      0      0      0      0
##    51000        0      0      0      0      0      0      0      0      0
##    52000        0      0      0      0      0      0      0      0      0
##    53000        0      0      0      0      0      0      0      0      0
##    54000        0      0      0      0      0      0      0      0      0
##    55000        0      0      0      0      0      0      0      0      0
##    56000        0      0      0      0      0      0      0      0      0
##    57000        0      0      0      0      0      0      0      0      0
##    58000        0      0      0      0      0      0      0      0      0
##    59000        0      0      0      0      0      0      0      0      0
##    60000        0      0      0      0      0      0      0      0      0
##    61000        0      0      0      0      0      0      0      0      0
##    62000        0      0      0      0      0      0      0      0      0
##    63000        0      0      0      0      0      0      0      0      0
##    64000        0      0      0      0      0      0      0      0      0
##    65000        0      0      0      0      0      0      0      0      0
##    66000        0      0      0      0      0      0      0      0      0
##    67000        0      0      0      0      0      0      0      0      0
##    68000        0      0      0      0      0      0      0      0      0
##    69000        0      0      0      0      0      0      0      0      0
##    70000        0      0      0      0      0      0      0      0      0
##    71000        0      0      0      0      0      0      0      0      0
##    72000        0      0      0      0      0      0      0      0      0
##    73000        0      0      0      0      0      0      0      0      0
##    74000        0      0      0      0      0      0      0      0      0
##    75000        0      0      0      0      0      0      0      0      0
##    76000        0      0      0      0      0      0      0      0      0
##    77000        0      0      0      0      0      0      0      0      0
##    78000        0      0      0      0      0      0      0      0      0
##    79000        0      0      0      0      0      0      0      0      0
##    80000        0      0      0      0      0      0      0      0      0
##    81000        0      0      0      0      0      0      0      0      0
##    82000        0      0      0      0      0      0      0      0      0
##    83000        0      0      0      0      0      0      0      0      0
##    84000        0      0      0      0      0      0      0      0      0
##    85000        0      0      0      0      0      0      0      0      0
##    86000        0      0      0      0      0      0      0      0      0
##    87000        0      0      0      0      0      0      0      0      0
##    88000        0      0      0      0      0      0      0      0      0
##    89000        0      0      0      0      0      0      0      0      0
##    90000        0      0      0      0      0      0      0      0      0
##    91000        0      0      0      0      0      0      0      0      0
##    92000        0      0      0      0      0      0      0      0      0
##    93000        0      0      0      0      0      0      0      0      0
##    94000        0      0      0      0      0      0      0      0      0
##    95000        0      0      0      0      0      0      0      0      0
##    96000        0      0      0      0      0      0      0      0      0
##    97000        0      0      0      0      0      0      0      0      0
##    98000        0      0      0      0      0      0      0      0      0
##    99000        0      0      0      0      0      0      0      0      0
##    1e+05        0      0      0      0      0      0      0      0      0
##    101000       0      0      0      0      0      0      0      0      0
##    102000       0      0      0      0      0      0      0      0      0
##    103000       0      0      0      0      0      0      0      0      0
##    104000       0      0      0      0      0      0      0      0      0
##    105000       0      0      0      0      0      0      0      0      0
##    106000       0      0      0      0      0      0      0      0      0
##    107000       0      0      0      0      0      0      0      0      0
##    108000       0      0      0      0      0      0      0      0      0
##    109000       0      0      0      0      0      0      0      0      0
##    110000       0      0      0      0      0      0      0      0      0
##    111000       0      0      0      0      0      0      0      0      0
##    112000       0      0      0      0      0      0      0      0      0
##    113000       0      0      0      0      0      0      0      0      0
##    114000       0      0      0      0      0      0      0      0      0
##    115000       0      0      0      0      0      0      0      0      0
##    116000       0      0      0      0      0      0      0      0      0
##    117000       0      0      0      0      0      0      0      0      0
##    118000       0      0      0      0      0      0      0      0      0
##    119000       0      0      0      0      0      0      0      0      0
##    120000       0      0      0      0      0      0      0      0      0
##    121000       0      0      0      0      0      0      0      0      0
##    122000       0      0      0      0      0      0      0      0      0
##    123000       0      0      0      0      0      0      0      0      0
##    124000       0      0      0      0      0      0      0      0      0
##    125000       0      0      0      0      0      0      0      0      0
##    126000       0      0      0      0      0      0      0      0      0
##    127000       0      0      0      0      0      0      0      0      0
##    128000       0      0      0      0      0      0      0      0      0
##    129000       0      0      0      0      0      0      0      0      0
##    130000       0      0      0      0      0      0      0      0      0
##    131000       0      0      0      0      0      0      0      0      0
##    132000       0      0      0      0      0      0      0      0      0
##    133000       0      0      0      0      0      0      0      0      0
##    134000       0      0      0      0      0      0      0      0      0
##    135000       0      0      0      0      0      0      0      0      0
##    136000       0      0      0      0      0      0      0      0      0
##    137000       0      0      0      0      0      0      0      0      0
##    138000       0      0      0      0      0      0      0      0      0
##    139000       0      0      0      0      0      0      0      0      0
##    140000       0      0      0      0      0      0      0      0      0
##    141000       0      0      0      0      0      0      0      0      0
##    142000       0      0      0      0      0      0      0      0      0
##    143000       0      0      0      0      0      0      0      0      0
##    144000       0      0      0      0      0      0      0      0      0
##    145000       0      0      0      0      0      0      0      0      0
##    146000       0      0      0      0      0      0      0      0      0
##    147000       0      0      0      0      0      0      0      0      0
##    148000       0      0      0      0      0      0      0      0      0
##    149000       0      0      0      0      0      0      0      0      0
##           Reference
## Prediction 890000 893000 895000 896000 9e+05 910000 925000 931000 950000 980000
##    10000        0      0      0      0     0      0      0      0      0      0
##    11000        0      0      0      0     0      0      0      0      0      0
##    12000        0      0      0      0     0      0      0      0      0      0
##    13000        0      0      0      0     0      0      0      0      0      0
##    14000        0      0      0      0     0      0      0      0      0      0
##    15000        0      0      0      0     0      0      0      0      0      0
##    16000        0      0      0      0     0      0      0      0      0      0
##    17000        0      0      0      0     0      0      0      0      0      0
##    18000        0      0      0      0     0      0      0      0      0      0
##    19000        0      0      0      0     0      0      0      0      0      0
##    20000        0      0      0      0     0      0      0      0      0      0
##    21000        0      0      0      0     0      0      0      0      0      0
##    22000        0      0      0      0     0      0      0      0      0      0
##    23000        0      0      0      0     0      0      0      0      0      0
##    24000        0      0      0      0     0      0      0      0      0      0
##    25000        0      0      0      0     0      0      0      0      0      0
##    26000        0      0      0      0     0      0      0      0      0      0
##    27000        0      0      0      0     0      0      0      0      0      0
##    28000        0      0      0      0     0      0      0      0      0      0
##    29000        0      0      0      0     0      0      0      0      0      0
##    30000        0      0      0      0     0      0      0      0      0      0
##    31000        0      0      0      0     0      0      0      0      0      0
##    32000        0      0      0      0     0      0      0      0      0      0
##    33000        0      0      0      0     0      0      0      0      0      0
##    34000        0      0      0      0     0      0      0      0      0      0
##    35000        0      0      0      0     0      0      0      0      0      0
##    36000        0      0      0      0     0      0      0      0      0      0
##    37000        0      0      0      0     0      0      0      0      0      0
##    38000        0      0      0      0     0      0      0      0      0      0
##    39000        0      0      0      0     0      0      0      0      0      0
##    40000        0      0      0      0     0      0      0      0      0      0
##    41000        0      0      0      0     0      0      0      0      0      0
##    42000        0      0      0      0     0      0      0      0      0      0
##    43000        0      0      0      0     0      0      0      0      0      0
##    44000        0      0      0      0     0      0      0      0      0      0
##    45000        0      0      0      0     0      0      0      0      0      0
##    46000        0      0      0      0     0      0      0      0      0      0
##    47000        0      0      0      0     0      0      0      0      0      0
##    48000        0      0      0      0     0      0      0      0      0      0
##    49000        0      0      0      0     0      0      0      0      0      0
##    50000        0      0      0      0     0      0      0      0      0      0
##    51000        0      0      0      0     0      0      0      0      0      0
##    52000        0      0      0      0     0      0      0      0      0      0
##    53000        0      0      0      0     0      0      0      0      0      0
##    54000        0      0      0      0     0      0      0      0      0      0
##    55000        0      0      0      0     0      0      0      0      0      0
##    56000        0      0      0      0     0      0      0      0      0      0
##    57000        0      0      0      0     0      0      0      0      0      0
##    58000        0      0      0      0     0      0      0      0      0      0
##    59000        0      0      0      0     0      0      0      0      0      0
##    60000        0      0      0      0     0      0      0      0      0      0
##    61000        0      0      0      0     0      0      0      0      0      0
##    62000        0      0      0      0     0      0      0      0      0      0
##    63000        0      0      0      0     0      0      0      0      0      0
##    64000        0      0      0      0     0      0      0      0      0      0
##    65000        0      0      0      0     0      0      0      0      0      0
##    66000        0      0      0      0     0      0      0      0      0      0
##    67000        0      0      0      0     0      0      0      0      0      0
##    68000        0      0      0      0     0      0      0      0      0      0
##    69000        0      0      0      0     0      0      0      0      0      0
##    70000        0      0      0      0     0      0      0      0      0      0
##    71000        0      0      0      0     0      0      0      0      0      0
##    72000        0      0      0      0     0      0      0      0      0      0
##    73000        0      0      0      0     0      0      0      0      0      0
##    74000        0      0      0      0     0      0      0      0      0      0
##    75000        0      0      0      0     0      0      0      0      0      0
##    76000        0      0      0      0     0      0      0      0      0      0
##    77000        0      0      0      0     0      0      0      0      0      0
##    78000        0      0      0      0     0      0      0      0      0      0
##    79000        0      0      0      0     0      0      0      0      0      0
##    80000        0      0      0      0     0      0      0      0      0      0
##    81000        0      0      0      0     0      0      0      0      0      0
##    82000        0      0      0      0     0      0      0      0      0      0
##    83000        0      0      0      0     0      0      0      0      0      0
##    84000        0      0      0      0     0      0      0      0      0      0
##    85000        0      0      0      0     0      0      0      0      0      0
##    86000        0      0      0      0     0      0      0      0      0      0
##    87000        0      0      0      0     0      0      0      0      0      0
##    88000        0      0      0      0     0      0      0      0      0      0
##    89000        0      0      0      0     0      0      0      0      0      0
##    90000        0      0      0      0     0      0      0      0      0      0
##    91000        0      0      0      0     0      0      0      0      0      0
##    92000        0      0      0      0     0      0      0      0      0      0
##    93000        0      0      0      0     0      0      0      0      0      0
##    94000        0      0      0      0     0      0      0      0      0      0
##    95000        0      0      0      0     0      0      0      0      0      0
##    96000        0      0      0      0     0      0      0      0      0      0
##    97000        0      0      0      0     0      0      0      0      0      0
##    98000        0      0      0      0     0      0      0      0      0      0
##    99000        0      0      0      0     0      0      0      0      0      0
##    1e+05        0      0      0      0     0      0      0      0      0      0
##    101000       0      0      0      0     0      0      0      0      0      0
##    102000       0      0      0      0     0      0      0      0      0      0
##    103000       0      0      0      0     0      0      0      0      0      0
##    104000       0      0      0      0     0      0      0      0      0      0
##    105000       0      0      0      0     0      0      0      0      0      0
##    106000       0      0      0      0     0      0      0      0      0      0
##    107000       0      0      0      0     0      0      0      0      0      0
##    108000       0      0      0      0     0      0      0      0      0      0
##    109000       0      0      0      0     0      0      0      0      0      0
##    110000       0      0      0      0     0      0      0      0      0      0
##    111000       0      0      0      0     0      0      0      0      0      0
##    112000       0      0      0      0     0      0      0      0      0      0
##    113000       0      0      0      0     0      0      0      0      0      0
##    114000       0      0      0      0     0      0      0      0      0      0
##    115000       0      0      0      0     0      0      0      0      0      0
##    116000       0      0      0      0     0      0      0      0      0      0
##    117000       0      0      0      0     0      0      0      0      0      0
##    118000       0      0      0      0     0      0      0      0      0      0
##    119000       0      0      0      0     0      0      0      0      0      0
##    120000       0      0      0      0     0      0      0      0      0      0
##    121000       0      0      0      0     0      0      0      0      0      0
##    122000       0      0      0      0     0      0      0      0      0      0
##    123000       0      0      0      0     0      0      0      0      0      0
##    124000       0      0      0      0     0      0      0      0      0      0
##    125000       0      0      0      0     0      0      0      0      0      0
##    126000       0      0      0      0     0      0      0      0      0      0
##    127000       0      0      0      0     0      0      0      0      0      0
##    128000       0      0      0      0     0      0      0      0      0      0
##    129000       0      0      0      0     0      0      0      0      0      0
##    130000       0      0      0      0     0      0      0      0      0      0
##    131000       0      0      0      0     0      0      0      0      0      0
##    132000       0      0      0      0     0      0      0      0      0      0
##    133000       0      0      0      0     0      0      0      0      0      0
##    134000       0      0      0      0     0      0      0      0      0      0
##    135000       0      0      0      0     0      0      0      0      0      0
##    136000       0      0      0      0     0      0      0      0      0      0
##    137000       0      0      0      0     0      0      0      0      0      0
##    138000       0      0      0      0     0      0      0      0      0      0
##    139000       0      0      0      0     0      0      0      0      0      0
##    140000       0      0      0      0     0      0      0      0      0      0
##    141000       0      0      0      0     0      0      0      0      0      0
##    142000       0      0      0      0     0      0      0      0      0      0
##    143000       0      0      0      0     0      0      0      0      0      0
##    144000       0      0      0      0     0      0      0      0      0      0
##    145000       0      0      0      0     0      0      0      0      0      0
##    146000       0      0      0      0     0      0      0      0      0      0
##    147000       0      0      0      0     0      0      0      0      0      0
##    148000       0      0      0      0     0      0      0      0      0      0
##    149000       0      0      0      0     0      0      0      0      0      0
##           Reference
## Prediction 987000 998000 1e+06 1005000 1020000 1026000 1050000 1100000 1105000
##    10000        0      0     0       0       0       0       0       0       0
##    11000        0      0     0       0       0       0       0       0       0
##    12000        0      0     0       0       0       0       0       0       0
##    13000        0      0     0       0       0       0       0       0       0
##    14000        0      0     0       0       0       0       0       0       0
##    15000        0      0     0       0       0       0       0       0       0
##    16000        0      0     0       0       0       0       0       0       0
##    17000        0      0     0       0       0       0       0       0       0
##    18000        0      0     0       0       0       0       0       0       0
##    19000        0      0     0       0       0       0       0       0       0
##    20000        0      0     0       0       0       0       0       0       0
##    21000        0      0     0       0       0       0       0       0       0
##    22000        0      0     0       0       0       0       0       0       0
##    23000        0      0     0       0       0       0       0       0       0
##    24000        0      0     0       0       0       0       0       0       0
##    25000        0      0     0       0       0       0       0       0       0
##    26000        0      0     0       0       0       0       0       0       0
##    27000        0      0     0       0       0       0       0       0       0
##    28000        0      0     0       0       0       0       0       0       0
##    29000        0      0     0       0       0       0       0       0       0
##    30000        0      0     0       0       0       0       0       0       0
##    31000        0      0     0       0       0       0       0       0       0
##    32000        0      0     0       0       0       0       0       0       0
##    33000        0      0     0       0       0       0       0       0       0
##    34000        0      0     0       0       0       0       0       0       0
##    35000        0      0     0       0       0       0       0       0       0
##    36000        0      0     0       0       0       0       0       0       0
##    37000        0      0     0       0       0       0       0       0       0
##    38000        0      0     0       0       0       0       0       0       0
##    39000        0      0     0       0       0       0       0       0       0
##    40000        0      0     0       0       0       0       0       0       0
##    41000        0      0     0       0       0       0       0       0       0
##    42000        0      0     0       0       0       0       0       0       0
##    43000        0      0     0       0       0       0       0       0       0
##    44000        0      0     0       0       0       0       0       0       0
##    45000        0      0     0       0       0       0       0       0       0
##    46000        0      0     0       0       0       0       0       0       0
##    47000        0      0     0       0       0       0       0       0       0
##    48000        0      0     0       0       0       0       0       0       0
##    49000        0      0     0       0       0       0       0       0       0
##    50000        0      0     0       0       0       0       0       0       0
##    51000        0      0     0       0       0       0       0       0       0
##    52000        0      0     0       0       0       0       0       0       0
##    53000        0      0     0       0       0       0       0       0       0
##    54000        0      0     0       0       0       0       0       0       0
##    55000        0      0     0       0       0       0       0       0       0
##    56000        0      0     0       0       0       0       0       0       0
##    57000        0      0     0       0       0       0       0       0       0
##    58000        0      0     0       0       0       0       0       0       0
##    59000        0      0     0       0       0       0       0       0       0
##    60000        0      0     0       0       0       0       0       0       0
##    61000        0      0     0       0       0       0       0       0       0
##    62000        0      0     0       0       0       0       0       0       0
##    63000        0      0     0       0       0       0       0       0       0
##    64000        0      0     0       0       0       0       0       0       0
##    65000        0      0     0       0       0       0       0       0       0
##    66000        0      0     0       0       0       0       0       0       0
##    67000        0      0     0       0       0       0       0       0       0
##    68000        0      0     0       0       0       0       0       0       0
##    69000        0      0     0       0       0       0       0       0       0
##    70000        0      0     0       0       0       0       0       0       0
##    71000        0      0     0       0       0       0       0       0       0
##    72000        0      0     0       0       0       0       0       0       0
##    73000        0      0     0       0       0       0       0       0       0
##    74000        0      0     0       0       0       0       0       0       0
##    75000        0      0     0       0       0       0       0       0       0
##    76000        0      0     0       0       0       0       0       0       0
##    77000        0      0     0       0       0       0       0       0       0
##    78000        0      0     0       0       0       0       0       0       0
##    79000        0      0     0       0       0       0       0       0       0
##    80000        0      0     0       0       0       0       0       0       0
##    81000        0      0     0       0       0       0       0       0       0
##    82000        0      0     0       0       0       0       0       0       0
##    83000        0      0     0       0       0       0       0       0       0
##    84000        0      0     0       0       0       0       0       0       0
##    85000        0      0     0       0       0       0       0       0       0
##    86000        0      0     0       0       0       0       0       0       0
##    87000        0      0     0       0       0       0       0       0       0
##    88000        0      0     0       0       0       0       0       0       0
##    89000        0      0     0       0       0       0       0       0       0
##    90000        0      0     0       0       0       0       0       0       0
##    91000        0      0     0       0       0       0       0       0       0
##    92000        0      0     0       0       0       0       0       0       0
##    93000        0      0     0       0       0       0       0       0       0
##    94000        0      0     0       0       0       0       0       0       0
##    95000        0      0     0       0       0       0       0       0       0
##    96000        0      0     0       0       0       0       0       0       0
##    97000        0      0     0       0       0       0       0       0       0
##    98000        0      0     0       0       0       0       0       0       0
##    99000        0      0     0       0       0       0       0       0       0
##    1e+05        0      0     0       0       0       0       0       0       0
##    101000       0      0     0       0       0       0       0       0       0
##    102000       0      0     0       0       0       0       0       0       0
##    103000       0      0     0       0       0       0       0       0       0
##    104000       0      0     0       0       0       0       0       0       0
##    105000       0      0     0       0       0       0       0       0       0
##    106000       0      0     0       0       0       0       0       0       0
##    107000       0      0     0       0       0       0       0       0       0
##    108000       0      0     0       0       0       0       0       0       0
##    109000       0      0     0       0       0       0       0       0       0
##    110000       0      0     0       0       0       0       0       0       0
##    111000       0      0     0       0       0       0       0       0       0
##    112000       0      0     0       0       0       0       0       0       0
##    113000       0      0     0       0       0       0       0       0       0
##    114000       0      0     0       0       0       0       0       0       0
##    115000       0      0     0       0       0       0       0       0       0
##    116000       0      0     0       0       0       0       0       0       0
##    117000       0      0     0       0       0       0       0       0       0
##    118000       0      0     0       0       0       0       0       0       0
##    119000       0      0     0       0       0       0       0       0       0
##    120000       0      0     0       0       0       0       0       0       0
##    121000       0      0     0       0       0       0       0       0       0
##    122000       0      0     0       0       0       0       0       0       0
##    123000       0      0     0       0       0       0       0       0       0
##    124000       0      0     0       0       0       0       0       0       0
##    125000       0      0     0       0       0       0       0       0       0
##    126000       0      0     0       0       0       0       0       0       0
##    127000       0      0     0       0       0       0       0       0       0
##    128000       0      0     0       0       0       0       0       0       0
##    129000       0      0     0       0       0       0       0       0       0
##    130000       0      0     0       0       0       0       0       0       0
##    131000       0      0     0       0       0       0       0       0       0
##    132000       0      0     0       0       0       0       0       0       0
##    133000       0      0     0       0       0       0       0       0       0
##    134000       0      0     0       0       0       0       0       0       0
##    135000       0      0     0       0       0       0       0       0       0
##    136000       0      0     0       0       0       0       0       0       0
##    137000       0      0     0       0       0       0       0       0       0
##    138000       0      0     0       0       0       0       0       0       0
##    139000       0      0     0       0       0       0       0       0       0
##    140000       0      0     0       0       0       0       0       0       0
##    141000       0      0     0       0       0       0       0       0       0
##    142000       0      0     0       0       0       0       0       0       0
##    143000       0      0     0       0       0       0       0       0       0
##    144000       0      0     0       0       0       0       0       0       0
##    145000       0      0     0       0       0       0       0       0       0
##    146000       0      0     0       0       0       0       0       0       0
##    147000       0      0     0       0       0       0       0       0       0
##    148000       0      0     0       0       0       0       0       0       0
##    149000       0      0     0       0       0       0       0       0       0
##           Reference
## Prediction 1110000 1130000 1131000 1140000 1150000 1160000 1185000 1200000
##    10000         0       0       0       0       0       0       0       0
##    11000         0       0       0       0       0       0       0       0
##    12000         0       0       0       0       0       0       0       0
##    13000         0       0       0       0       0       0       0       0
##    14000         0       0       0       0       0       0       0       0
##    15000         0       0       0       0       0       0       0       0
##    16000         0       0       0       0       0       0       0       0
##    17000         0       0       0       0       0       0       0       0
##    18000         0       0       0       0       0       0       0       0
##    19000         0       0       0       0       0       0       0       0
##    20000         0       0       0       0       0       0       0       0
##    21000         0       0       0       0       0       0       0       0
##    22000         0       0       0       0       0       0       0       0
##    23000         0       0       0       0       0       0       0       0
##    24000         0       0       0       0       0       0       0       0
##    25000         0       0       0       0       0       0       0       0
##    26000         0       0       0       0       0       0       0       0
##    27000         0       0       0       0       0       0       0       0
##    28000         0       0       0       0       0       0       0       0
##    29000         0       0       0       0       0       0       0       0
##    30000         0       0       0       0       0       0       0       0
##    31000         0       0       0       0       0       0       0       0
##    32000         0       0       0       0       0       0       0       0
##    33000         0       0       0       0       0       0       0       0
##    34000         0       0       0       0       0       0       0       0
##    35000         0       0       0       0       0       0       0       0
##    36000         0       0       0       0       0       0       0       0
##    37000         0       0       0       0       0       0       0       0
##    38000         0       0       0       0       0       0       0       0
##    39000         0       0       0       0       0       0       0       0
##    40000         0       0       0       0       0       0       0       0
##    41000         0       0       0       0       0       0       0       0
##    42000         0       0       0       0       0       0       0       0
##    43000         0       0       0       0       0       0       0       0
##    44000         0       0       0       0       0       0       0       0
##    45000         0       0       0       0       0       0       0       0
##    46000         0       0       0       0       0       0       0       0
##    47000         0       0       0       0       0       0       0       0
##    48000         0       0       0       0       0       0       0       0
##    49000         0       0       0       0       0       0       0       0
##    50000         0       0       0       0       0       0       0       0
##    51000         0       0       0       0       0       0       0       0
##    52000         0       0       0       0       0       0       0       0
##    53000         0       0       0       0       0       0       0       0
##    54000         0       0       0       0       0       0       0       0
##    55000         0       0       0       0       0       0       0       0
##    56000         0       0       0       0       0       0       0       0
##    57000         0       0       0       0       0       0       0       0
##    58000         0       0       0       0       0       0       0       0
##    59000         0       0       0       0       0       0       0       0
##    60000         0       0       0       0       0       0       0       0
##    61000         0       0       0       0       0       0       0       0
##    62000         0       0       0       0       0       0       0       0
##    63000         0       0       0       0       0       0       0       0
##    64000         0       0       0       0       0       0       0       0
##    65000         0       0       0       0       0       0       0       0
##    66000         0       0       0       0       0       0       0       0
##    67000         0       0       0       0       0       0       0       0
##    68000         0       0       0       0       0       0       0       0
##    69000         0       0       0       0       0       0       0       0
##    70000         0       0       0       0       0       0       0       0
##    71000         0       0       0       0       0       0       0       0
##    72000         0       0       0       0       0       0       0       0
##    73000         0       0       0       0       0       0       0       0
##    74000         0       0       0       0       0       0       0       0
##    75000         0       0       0       0       0       0       0       0
##    76000         0       0       0       0       0       0       0       0
##    77000         0       0       0       0       0       0       0       0
##    78000         0       0       0       0       0       0       0       0
##    79000         0       0       0       0       0       0       0       0
##    80000         0       0       0       0       0       0       0       0
##    81000         0       0       0       0       0       0       0       0
##    82000         0       0       0       0       0       0       0       0
##    83000         0       0       0       0       0       0       0       0
##    84000         0       0       0       0       0       0       0       0
##    85000         0       0       0       0       0       0       0       0
##    86000         0       0       0       0       0       0       0       0
##    87000         0       0       0       0       0       0       0       0
##    88000         0       0       0       0       0       0       0       0
##    89000         0       0       0       0       0       0       0       0
##    90000         0       0       0       0       0       0       0       0
##    91000         0       0       0       0       0       0       0       0
##    92000         0       0       0       0       0       0       0       0
##    93000         0       0       0       0       0       0       0       0
##    94000         0       0       0       0       0       0       0       0
##    95000         0       0       0       0       0       0       0       0
##    96000         0       0       0       0       0       0       0       0
##    97000         0       0       0       0       0       0       0       0
##    98000         0       0       0       0       0       0       0       0
##    99000         0       0       0       0       0       0       0       0
##    1e+05         0       0       0       0       0       0       0       0
##    101000        0       0       0       0       0       0       0       0
##    102000        0       0       0       0       0       0       0       0
##    103000        0       0       0       0       0       0       0       0
##    104000        0       0       0       0       0       0       0       0
##    105000        0       0       0       0       0       0       0       0
##    106000        0       0       0       0       0       0       0       0
##    107000        0       0       0       0       0       0       0       0
##    108000        0       0       0       0       0       0       0       0
##    109000        0       0       0       0       0       0       0       0
##    110000        0       0       0       0       0       0       0       0
##    111000        0       0       0       0       0       0       0       0
##    112000        0       0       0       0       0       0       0       0
##    113000        0       0       0       0       0       0       0       0
##    114000        0       0       0       0       0       0       0       0
##    115000        0       0       0       0       0       0       0       0
##    116000        0       0       0       0       0       0       0       0
##    117000        0       0       0       0       0       0       0       0
##    118000        0       0       0       0       0       0       0       0
##    119000        0       0       0       0       0       0       0       0
##    120000        0       0       0       0       0       0       0       0
##    121000        0       0       0       0       0       0       0       0
##    122000        0       0       0       0       0       0       0       0
##    123000        0       0       0       0       0       0       0       0
##    124000        0       0       0       0       0       0       0       0
##    125000        0       0       0       0       0       0       0       0
##    126000        0       0       0       0       0       0       0       0
##    127000        0       0       0       0       0       0       0       0
##    128000        0       0       0       0       0       0       0       0
##    129000        0       0       0       0       0       0       0       0
##    130000        0       0       0       0       0       0       0       0
##    131000        0       0       0       0       0       0       0       0
##    132000        0       0       0       0       0       0       0       0
##    133000        0       0       0       0       0       0       0       0
##    134000        0       0       0       0       0       0       0       0
##    135000        0       0       0       0       0       0       0       0
##    136000        0       0       0       0       0       0       0       0
##    137000        0       0       0       0       0       0       0       0
##    138000        0       0       0       0       0       0       0       0
##    139000        0       0       0       0       0       0       0       0
##    140000        0       0       0       0       0       0       0       0
##    141000        0       0       0       0       0       0       0       0
##    142000        0       0       0       0       0       0       0       0
##    143000        0       0       0       0       0       0       0       0
##    144000        0       0       0       0       0       0       0       0
##    145000        0       0       0       0       0       0       0       0
##    146000        0       0       0       0       0       0       0       0
##    147000        0       0       0       0       0       0       0       0
##    148000        0       0       0       0       0       0       0       0
##    149000        0       0       0       0       0       0       0       0
##           Reference
## Prediction 1203000 1210000 1218000 1225000 1240000 1280000 1300000 1400000
##    10000         0       0       0       0       0       0       0       0
##    11000         0       0       0       0       0       0       0       0
##    12000         0       0       0       0       0       0       0       0
##    13000         0       0       0       0       0       0       0       0
##    14000         0       0       0       0       0       0       0       0
##    15000         0       0       0       0       0       0       0       0
##    16000         0       0       0       0       0       0       0       0
##    17000         0       0       0       0       0       0       0       0
##    18000         0       0       0       0       0       0       0       0
##    19000         0       0       0       0       0       0       0       0
##    20000         0       0       0       0       0       0       0       0
##    21000         0       0       0       0       0       0       0       0
##    22000         0       0       0       0       0       0       0       0
##    23000         0       0       0       0       0       0       0       0
##    24000         0       0       0       0       0       0       0       0
##    25000         0       0       0       0       0       0       0       0
##    26000         0       0       0       0       0       0       0       0
##    27000         0       0       0       0       0       0       0       0
##    28000         0       0       0       0       0       0       0       0
##    29000         0       0       0       0       0       0       0       0
##    30000         0       0       0       0       0       0       0       0
##    31000         0       0       0       0       0       0       0       0
##    32000         0       0       0       0       0       0       0       0
##    33000         0       0       0       0       0       0       0       0
##    34000         0       0       0       0       0       0       0       0
##    35000         0       0       0       0       0       0       0       0
##    36000         0       0       0       0       0       0       0       0
##    37000         0       0       0       0       0       0       0       0
##    38000         0       0       0       0       0       0       0       0
##    39000         0       0       0       0       0       0       0       0
##    40000         0       0       0       0       0       0       0       0
##    41000         0       0       0       0       0       0       0       0
##    42000         0       0       0       0       0       0       0       0
##    43000         0       0       0       0       0       0       0       0
##    44000         0       0       0       0       0       0       0       0
##    45000         0       0       0       0       0       0       0       0
##    46000         0       0       0       0       0       0       0       0
##    47000         0       0       0       0       0       0       0       0
##    48000         0       0       0       0       0       0       0       0
##    49000         0       0       0       0       0       0       0       0
##    50000         0       0       0       0       0       0       0       0
##    51000         0       0       0       0       0       0       0       0
##    52000         0       0       0       0       0       0       0       0
##    53000         0       0       0       0       0       0       0       0
##    54000         0       0       0       0       0       0       0       0
##    55000         0       0       0       0       0       0       0       0
##    56000         0       0       0       0       0       0       0       0
##    57000         0       0       0       0       0       0       0       0
##    58000         0       0       0       0       0       0       0       0
##    59000         0       0       0       0       0       0       0       0
##    60000         0       0       0       0       0       0       0       0
##    61000         0       0       0       0       0       0       0       0
##    62000         0       0       0       0       0       0       0       0
##    63000         0       0       0       0       0       0       0       0
##    64000         0       0       0       0       0       0       0       0
##    65000         0       0       0       0       0       0       0       0
##    66000         0       0       0       0       0       0       0       0
##    67000         0       0       0       0       0       0       0       0
##    68000         0       0       0       0       0       0       0       0
##    69000         0       0       0       0       0       0       0       0
##    70000         0       0       0       0       0       0       0       0
##    71000         0       0       0       0       0       0       0       0
##    72000         0       0       0       0       0       0       0       0
##    73000         0       0       0       0       0       0       0       0
##    74000         0       0       0       0       0       0       0       0
##    75000         0       0       0       0       0       0       0       0
##    76000         0       0       0       0       0       0       0       0
##    77000         0       0       0       0       0       0       0       0
##    78000         0       0       0       0       0       0       0       0
##    79000         0       0       0       0       0       0       0       0
##    80000         0       0       0       0       0       0       0       0
##    81000         0       0       0       0       0       0       0       0
##    82000         0       0       0       0       0       0       0       0
##    83000         0       0       0       0       0       0       0       0
##    84000         0       0       0       0       0       0       0       0
##    85000         0       0       0       0       0       0       0       0
##    86000         0       0       0       0       0       0       0       0
##    87000         0       0       0       0       0       0       0       0
##    88000         0       0       0       0       0       0       0       0
##    89000         0       0       0       0       0       0       0       0
##    90000         0       0       0       0       0       0       0       0
##    91000         0       0       0       0       0       0       0       0
##    92000         0       0       0       0       0       0       0       0
##    93000         0       0       0       0       0       0       0       0
##    94000         0       0       0       0       0       0       0       0
##    95000         0       0       0       0       0       0       0       0
##    96000         0       0       0       0       0       0       0       0
##    97000         0       0       0       0       0       0       0       0
##    98000         0       0       0       0       0       0       0       0
##    99000         0       0       0       0       0       0       0       0
##    1e+05         0       0       0       0       0       0       0       0
##    101000        0       0       0       0       0       0       0       0
##    102000        0       0       0       0       0       0       0       0
##    103000        0       0       0       0       0       0       0       0
##    104000        0       0       0       0       0       0       0       0
##    105000        0       0       0       0       0       0       0       0
##    106000        0       0       0       0       0       0       0       0
##    107000        0       0       0       0       0       0       0       0
##    108000        0       0       0       0       0       0       0       0
##    109000        0       0       0       0       0       0       0       0
##    110000        0       0       0       0       0       0       0       0
##    111000        0       0       0       0       0       0       0       0
##    112000        0       0       0       0       0       0       0       0
##    113000        0       0       0       0       0       0       0       0
##    114000        0       0       0       0       0       0       0       0
##    115000        0       0       0       0       0       0       0       0
##    116000        0       0       0       0       0       0       0       0
##    117000        0       0       0       0       0       0       0       0
##    118000        0       0       0       0       0       0       0       0
##    119000        0       0       0       0       0       0       0       0
##    120000        0       0       0       0       0       0       0       0
##    121000        0       0       0       0       0       0       0       0
##    122000        0       0       0       0       0       0       0       0
##    123000        0       0       0       0       0       0       0       0
##    124000        0       0       0       0       0       0       0       0
##    125000        0       0       0       0       0       0       0       0
##    126000        0       0       0       0       0       0       0       0
##    127000        0       0       0       0       0       0       0       0
##    128000        0       0       0       0       0       0       0       0
##    129000        0       0       0       0       0       0       0       0
##    130000        0       0       0       0       0       0       0       0
##    131000        0       0       0       0       0       0       0       0
##    132000        0       0       0       0       0       0       0       0
##    133000        0       0       0       0       0       0       0       0
##    134000        0       0       0       0       0       0       0       0
##    135000        0       0       0       0       0       0       0       0
##    136000        0       0       0       0       0       0       0       0
##    137000        0       0       0       0       0       0       0       0
##    138000        0       0       0       0       0       0       0       0
##    139000        0       0       0       0       0       0       0       0
##    140000        0       0       0       0       0       0       0       0
##    141000        0       0       0       0       0       0       0       0
##    142000        0       0       0       0       0       0       0       0
##    143000        0       0       0       0       0       0       0       0
##    144000        0       0       0       0       0       0       0       0
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##           Reference
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##  [ reached getOption("max.print") -- omitted 573 rows ]
## 
## Overall Statistics
##                                     
##                Accuracy : 0         
##                  95% CI : (0, 9e-04)
##     No Information Rate : 0.0161    
##     P-Value [Acc > NIR] : 1         
##                                     
##                   Kappa : 0         
##                                     
##  Mcnemar's Test P-Value : NA        
## 
## Statistics by Class:
## 
##                      Class: 10000 Class: 11000 Class: 12000 Class: 13000
## Sensitivity              0.000000    0.0000000    0.0000000    0.0000000
## Specificity              1.000000    1.0000000    1.0000000    1.0000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998763    0.9995053    0.9990106    0.9995053
## Prevalence               0.001237    0.0004947    0.0009894    0.0004947
## Detection Rate           0.000000    0.0000000    0.0000000    0.0000000
## Detection Prevalence     0.000000    0.0000000    0.0000000    0.0000000
## Balanced Accuracy        0.500000    0.5000000    0.5000000    0.5000000
##                      Class: 14000 Class: 15000 Class: 16000 Class: 17000
## Sensitivity              0.000000    0.0000000    0.0000000     0.000000
## Specificity              1.000000    1.0000000    1.0000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.999258    0.9990106    0.9990106     0.999258
## Prevalence               0.000742    0.0009894    0.0009894     0.000742
## Detection Rate           0.000000    0.0000000    0.0000000     0.000000
## Detection Prevalence     0.000000    0.0000000    0.0000000     0.000000
## Balanced Accuracy        0.500000    0.5000000    0.5000000     0.500000
##                      Class: 18000 Class: 19000 Class: 20000 Class: 21000
## Sensitivity             0.0000000     0.000000    0.0000000    0.0000000
## Specificity             1.0000000     1.000000    1.0000000    1.0000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value          0.9995053     0.998763    0.9990106    0.9990106
## Prevalence              0.0004947     0.001237    0.0009894    0.0009894
## Detection Rate          0.0000000     0.000000    0.0000000    0.0000000
## Detection Prevalence    0.0000000     0.000000    0.0000000    0.0000000
## Balanced Accuracy       0.5000000     0.500000    0.5000000    0.5000000
##                      Class: 22000 Class: 23000 Class: 24000 Class: 25000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998516     0.998763     0.998763     0.998269
## Prevalence               0.001484     0.001237     0.001237     0.001731
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 26000 Class: 27000 Class: 28000 Class: 29000
## Sensitivity              0.000000     0.000000     0.000000    0.0000000
## Specificity              1.000000     1.000000     1.000000    1.0000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998763     0.998021     0.998516    0.9990106
## Prevalence               0.001237     0.001979     0.001484    0.0009894
## Detection Rate           0.000000     0.000000     0.000000    0.0000000
## Detection Prevalence     0.000000     0.000000     0.000000    0.0000000
## Balanced Accuracy        0.500000     0.500000     0.500000    0.5000000
##                      Class: 30000 Class: 31000 Class: 32000 Class: 33000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.997279     0.998763     0.998516     0.998763
## Prevalence               0.002721     0.001237     0.001484     0.001237
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 34000 Class: 35000 Class: 36000 Class: 37000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.999258     0.998516     0.998516     0.999258
## Prevalence               0.000742     0.001484     0.001484     0.000742
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 38000 Class: 39000 Class: 40000 Class: 41000
## Sensitivity              0.000000    0.0000000     0.000000     0.000000
## Specificity              1.000000    1.0000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998763    0.9990106     0.997032     0.998763
## Prevalence               0.001237    0.0009894     0.002968     0.001237
## Detection Rate           0.000000    0.0000000     0.000000     0.000000
## Detection Prevalence     0.000000    0.0000000     0.000000     0.000000
## Balanced Accuracy        0.500000    0.5000000     0.500000     0.500000
##                      Class: 42000 Class: 43000 Class: 44000 Class: 45000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998269     0.998763     0.998763     0.998763
## Prevalence               0.001731     0.001237     0.001237     0.001237
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 46000 Class: 47000 Class: 48000 Class: 49000
## Sensitivity             0.0000000     0.000000     0.000000    0.0000000
## Specificity             1.0000000     1.000000     1.000000    1.0000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value          0.9990106     0.998516     0.998269    0.9990106
## Prevalence              0.0009894     0.001484     0.001731    0.0009894
## Detection Rate          0.0000000     0.000000     0.000000    0.0000000
## Detection Prevalence    0.0000000     0.000000     0.000000    0.0000000
## Balanced Accuracy       0.5000000     0.500000     0.500000    0.5000000
##                      Class: 50000 Class: 51000 Class: 52000 Class: 53000
## Sensitivity               0.00000     0.000000    0.0000000    0.0000000
## Specificity               1.00000     1.000000    1.0000000    1.0000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value            0.99629     0.998763    0.9990106    0.9990106
## Prevalence                0.00371     0.001237    0.0009894    0.0009894
## Detection Rate            0.00000     0.000000    0.0000000    0.0000000
## Detection Prevalence      0.00000     0.000000    0.0000000    0.0000000
## Balanced Accuracy         0.50000     0.500000    0.5000000    0.5000000
##                      Class: 54000 Class: 55000 Class: 56000 Class: 57000
## Sensitivity              0.000000     0.000000    0.0000000     0.000000
## Specificity              1.000000     1.000000    1.0000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998516     0.998269    0.9990106     0.998269
## Prevalence               0.001484     0.001731    0.0009894     0.001731
## Detection Rate           0.000000     0.000000    0.0000000     0.000000
## Detection Prevalence     0.000000     0.000000    0.0000000     0.000000
## Balanced Accuracy        0.500000     0.500000    0.5000000     0.500000
##                      Class: 58000 Class: 59000 Class: 60000 Class: 61000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998763     0.998269     0.997032     0.998021
## Prevalence               0.001237     0.001731     0.002968     0.001979
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 62000 Class: 63000 Class: 64000 Class: 65000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998516     0.998516     0.998763     0.997774
## Prevalence               0.001484     0.001484     0.001237     0.002226
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 66000 Class: 67000 Class: 68000 Class: 69000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998516     0.998763     0.997774     0.998516
## Prevalence               0.001484     0.001237     0.002226     0.001484
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 70000 Class: 71000 Class: 72000 Class: 73000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.996043     0.998021     0.997279     0.998021
## Prevalence               0.003957     0.001979     0.002721     0.001979
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 74000 Class: 75000 Class: 76000 Class: 77000
## Sensitivity              0.000000      0.00000     0.000000     0.000000
## Specificity              1.000000      1.00000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998021      0.99629     0.997032     0.997032
## Prevalence               0.001979      0.00371     0.002968     0.002968
## Detection Rate           0.000000      0.00000     0.000000     0.000000
## Detection Prevalence     0.000000      0.00000     0.000000     0.000000
## Balanced Accuracy        0.500000      0.50000     0.500000     0.500000
##                      Class: 78000 Class: 79000 Class: 80000 Class: 81000
## Sensitivity               0.00000     0.000000     0.000000     0.000000
## Specificity               1.00000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value            0.99629     0.998516     0.994311     0.997279
## Prevalence                0.00371     0.001484     0.005689     0.002721
## Detection Rate            0.00000     0.000000     0.000000     0.000000
## Detection Prevalence      0.00000     0.000000     0.000000     0.000000
## Balanced Accuracy         0.50000     0.500000     0.500000     0.500000
##                      Class: 82000 Class: 83000 Class: 84000 Class: 85000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.996537     0.996537     0.997774     0.993569
## Prevalence               0.003463     0.003463     0.002226     0.006431
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 86000 Class: 87000 Class: 88000 Class: 89000
## Sensitivity              0.000000     0.000000      0.00000     0.000000
## Specificity              1.000000     1.000000      1.00000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.998021     0.996785      0.99629     0.997527
## Prevalence               0.001979     0.003215      0.00371     0.002473
## Detection Rate           0.000000     0.000000      0.00000     0.000000
## Detection Prevalence     0.000000     0.000000      0.00000     0.000000
## Balanced Accuracy        0.500000     0.500000      0.50000     0.500000
##                      Class: 90000 Class: 91000 Class: 92000 Class: 93000
## Sensitivity              0.000000     0.000000     0.000000     0.000000
## Specificity              1.000000     1.000000     1.000000     1.000000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.993074     0.997774     0.997279     0.996043
## Prevalence               0.006926     0.002226     0.002721     0.003957
## Detection Rate           0.000000     0.000000     0.000000     0.000000
## Detection Prevalence     0.000000     0.000000     0.000000     0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000     0.500000
##                      Class: 94000 Class: 95000 Class: 96000 Class: 97000
## Sensitivity              0.000000     0.000000     0.000000      0.00000
## Specificity              1.000000     1.000000     1.000000      1.00000
## Pos Pred Value                NaN          NaN          NaN          NaN
## Neg Pred Value           0.997032     0.995548     0.997279      0.99629
## Prevalence               0.002968     0.004452     0.002721      0.00371
## Detection Rate           0.000000     0.000000     0.000000      0.00000
## Detection Prevalence     0.000000     0.000000     0.000000      0.00000
## Balanced Accuracy        0.500000     0.500000     0.500000      0.50000
##                      Class: 98000 Class: 99000 Class: 1e+05 Class: 101000
## Sensitivity              0.000000     0.000000     0.000000      0.000000
## Specificity              1.000000     1.000000     1.000000      1.000000
## Pos Pred Value                NaN          NaN          NaN           NaN
## Neg Pred Value           0.996537     0.998269     0.990848      0.997279
## Prevalence               0.003463     0.001731     0.009152      0.002721
## Detection Rate           0.000000     0.000000     0.000000      0.000000
## Detection Prevalence     0.000000     0.000000     0.000000      0.000000
## Balanced Accuracy        0.500000     0.500000     0.500000      0.500000
##                      Class: 102000 Class: 103000 Class: 104000 Class: 105000
## Sensitivity                0.00000      0.000000      0.000000      0.000000
## Specificity                1.00000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value             0.99629      0.997527      0.997279      0.994558
## Prevalence                 0.00371      0.002473      0.002721      0.005442
## Detection Rate             0.00000      0.000000      0.000000      0.000000
## Detection Prevalence       0.00000      0.000000      0.000000      0.000000
## Balanced Accuracy          0.50000      0.500000      0.500000      0.500000
##                      Class: 106000 Class: 107000 Class: 108000 Class: 109000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279      0.997032      0.997279      0.998021
## Prevalence                0.002721      0.002968      0.002721      0.001979
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 110000 Class: 111000 Class: 112000 Class: 113000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.990106      0.998269      0.995548      0.996785
## Prevalence                0.009894      0.001731      0.004452      0.003215
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 114000 Class: 115000 Class: 116000 Class: 117000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997774      0.992827      0.997279      0.997527
## Prevalence                0.002226      0.007173      0.002721      0.002473
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 118000 Class: 119000 Class: 120000 Class: 121000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997032      0.997774       0.98763      0.997032
## Prevalence                0.002968      0.002226       0.01237      0.002968
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 122000 Class: 123000 Class: 124000 Class: 125000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997032      0.997279      0.997527      0.992827
## Prevalence                0.002968      0.002721      0.002473      0.007173
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 126000 Class: 127000 Class: 128000 Class: 129000
## Sensitivity               0.000000       0.00000      0.000000      0.000000
## Specificity               1.000000       1.00000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279       0.99629      0.995301      0.997527
## Prevalence                0.002721       0.00371      0.004699      0.002473
## Detection Rate            0.000000       0.00000      0.000000      0.000000
## Detection Prevalence      0.000000       0.00000      0.000000      0.000000
## Balanced Accuracy         0.500000       0.50000      0.500000      0.500000
##                      Class: 130000 Class: 131000 Class: 132000 Class: 133000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.990106      0.997527      0.996043      0.997032
## Prevalence                0.009894      0.002473      0.003957      0.002968
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 134000 Class: 135000 Class: 136000 Class: 137000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996785      0.991343      0.996785      0.997032
## Prevalence                0.003215      0.008657      0.003215      0.002968
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 138000 Class: 139000 Class: 140000 Class: 141000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.995301      0.997774       0.98813      0.997527
## Prevalence                0.004699      0.002226       0.01187      0.002473
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 142000 Class: 143000 Class: 144000 Class: 145000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996043      0.995795       0.99629      0.992827
## Prevalence                0.003957      0.004205       0.00371      0.007173
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 146000 Class: 147000 Class: 148000 Class: 149000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997032      0.996043      0.997032      0.997279
## Prevalence                0.002968      0.003957      0.002968      0.002721
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 150000 Class: 151000 Class: 152000 Class: 153000
## Sensitivity                0.00000      0.000000       0.00000      0.000000
## Specificity                1.00000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value             0.98392      0.997032       0.99629      0.996043
## Prevalence                 0.01608      0.002968       0.00371      0.003957
## Detection Rate             0.00000      0.000000       0.00000      0.000000
## Detection Prevalence       0.00000      0.000000       0.00000      0.000000
## Balanced Accuracy          0.50000      0.500000       0.50000      0.500000
##                      Class: 154000 Class: 155000 Class: 156000 Class: 157000
## Sensitivity               0.000000       0.00000       0.00000      0.000000
## Specificity               1.000000       1.00000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996785       0.99159       0.99629      0.996043
## Prevalence                0.003215       0.00841       0.00371      0.003957
## Detection Rate            0.000000       0.00000       0.00000      0.000000
## Detection Prevalence      0.000000       0.00000       0.00000      0.000000
## Balanced Accuracy         0.500000       0.50000       0.50000      0.500000
##                      Class: 158000 Class: 159000 Class: 160000 Class: 161000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996043      0.997279       0.98837      0.996537
## Prevalence                0.003957      0.002721       0.01163      0.003463
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 162000 Class: 163000 Class: 164000 Class: 165000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996537      0.995795      0.997032      0.990601
## Prevalence                0.003463      0.004205      0.002968      0.009399
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 166000 Class: 167000 Class: 168000 Class: 169000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279      0.996537      0.995548      0.997032
## Prevalence                0.002721      0.003463      0.004452      0.002968
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 170000 Class: 171000 Class: 172000 Class: 173000
## Sensitivity                0.00000      0.000000      0.000000      0.000000
## Specificity                1.00000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value             0.98763      0.996537      0.996537      0.995301
## Prevalence                 0.01237      0.003463      0.003463      0.004699
## Detection Rate             0.00000      0.000000      0.000000      0.000000
## Detection Prevalence       0.00000      0.000000      0.000000      0.000000
## Balanced Accuracy          0.50000      0.500000      0.500000      0.500000
##                      Class: 174000 Class: 175000 Class: 176000 Class: 177000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997032      0.990106      0.996043      0.996785
## Prevalence                0.002968      0.009894      0.003957      0.003215
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 178000 Class: 179000 Class: 180000 Class: 181000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996043      0.996785       0.98714      0.996785
## Prevalence                0.003957      0.003215       0.01286      0.003215
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 182000 Class: 183000 Class: 184000 Class: 185000
## Sensitivity               0.000000      0.000000      0.000000       0.00000
## Specificity               1.000000      1.000000      1.000000       1.00000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279      0.996785      0.996785       0.99258
## Prevalence                0.002721      0.003215      0.003215       0.00742
## Detection Rate            0.000000      0.000000      0.000000       0.00000
## Detection Prevalence      0.000000      0.000000      0.000000       0.00000
## Balanced Accuracy         0.500000      0.500000      0.500000       0.50000
##                      Class: 186000 Class: 187000 Class: 188000 Class: 189000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997527      0.996537      0.996785      0.997527
## Prevalence                0.002473      0.003463      0.003215      0.002473
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 190000 Class: 191000 Class: 192000 Class: 193000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.990601      0.997279      0.997032      0.997032
## Prevalence                0.009399      0.002721      0.002968      0.002968
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 194000 Class: 195000 Class: 196000 Class: 197000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279      0.993816      0.997032      0.997527
## Prevalence                0.002721      0.006184      0.002968      0.002473
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 198000 Class: 199000 Class: 2e+05 Class: 201000
## Sensitivity               0.000000      0.000000      0.00000      0.000000
## Specificity               1.000000      1.000000      1.00000      1.000000
## Pos Pred Value                 NaN           NaN          NaN           NaN
## Neg Pred Value            0.996537      0.997032      0.98516      0.997032
## Prevalence                0.003463      0.002968      0.01484      0.002968
## Detection Rate            0.000000      0.000000      0.00000      0.000000
## Detection Prevalence      0.000000      0.000000      0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.50000      0.500000
##                      Class: 202000 Class: 203000 Class: 204000 Class: 205000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996537      0.997774      0.997527      0.993322
## Prevalence                0.003463      0.002226      0.002473      0.006678
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 206000 Class: 207000 Class: 208000 Class: 209000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998269      0.997527      0.997774      0.997774
## Prevalence                0.001731      0.002473      0.002226      0.002226
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 210000 Class: 211000 Class: 212000 Class: 213000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.990848      0.998269      0.998021      0.997774
## Prevalence                0.009152      0.001731      0.001979      0.002226
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 214000 Class: 215000 Class: 216000 Class: 217000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997279      0.993322      0.997032      0.998763
## Prevalence                0.002721      0.006678      0.002968      0.001237
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 218000 Class: 219000 Class: 220000 Class: 221000
## Sensitivity               0.000000      0.000000       0.00000      0.000000
## Specificity               1.000000      1.000000       1.00000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997527      0.998269       0.99159      0.997774
## Prevalence                0.002473      0.001731       0.00841      0.002226
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.000000      0.000000       0.00000      0.000000
## Balanced Accuracy         0.500000      0.500000       0.50000      0.500000
##                      Class: 222000 Class: 223000 Class: 224000 Class: 225000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.997527      0.997527      0.998269      0.993816
## Prevalence                0.002473      0.002473      0.001731      0.006184
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 226000 Class: 227000 Class: 228000 Class: 229000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998021      0.998021      0.998021      0.998269
## Prevalence                0.001979      0.001979      0.001979      0.001731
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 230000 Class: 231000 Class: 232000 Class: 233000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.992827      0.998269      0.998516      0.997279
## Prevalence                0.007173      0.001731      0.001484      0.002721
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 234000 Class: 235000 Class: 236000 Class: 237000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998021      0.995795      0.998269      0.998269
## Prevalence                0.001979      0.004205      0.001731      0.001731
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 238000 Class: 239000 Class: 240000 Class: 241000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998021      0.998269      0.991838      0.998763
## Prevalence                0.001979      0.001731      0.008162      0.001237
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 242000 Class: 243000 Class: 244000 Class: 245000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998269      0.998269      0.998269      0.995301
## Prevalence                0.001731      0.001731      0.001731      0.004699
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 246000 Class: 247000 Class: 248000 Class: 249000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998763      0.998269      0.998021      0.998763
## Prevalence                0.001237      0.001731      0.001979      0.001237
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 250000 Class: 251000 Class: 252000 Class: 253000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.990106      0.998021      0.998269      0.998763
## Prevalence                0.009894      0.001979      0.001731      0.001237
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 254000 Class: 255000 Class: 256000 Class: 257000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998516      0.997032      0.998763      0.998763
## Prevalence                0.001484      0.002968      0.001237      0.001237
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 258000 Class: 259000 Class: 260000 Class: 261000
## Sensitivity               0.000000     0.0000000      0.000000      0.000000
## Specificity               1.000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998516     0.9990106      0.994806      0.998763
## Prevalence                0.001484     0.0009894      0.005194      0.001237
## Detection Rate            0.000000     0.0000000      0.000000      0.000000
## Detection Prevalence      0.000000     0.0000000      0.000000      0.000000
## Balanced Accuracy         0.500000     0.5000000      0.500000      0.500000
##                      Class: 262000 Class: 263000 Class: 264000 Class: 265000
## Sensitivity               0.000000      0.000000      0.000000       0.00000
## Specificity               1.000000      1.000000      1.000000       1.00000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998516      0.998763      0.998763       0.99629
## Prevalence                0.001484      0.001237      0.001237       0.00371
## Detection Rate            0.000000      0.000000      0.000000       0.00000
## Detection Prevalence      0.000000      0.000000      0.000000       0.00000
## Balanced Accuracy         0.500000      0.500000      0.500000       0.50000
##                      Class: 266000 Class: 267000 Class: 268000 Class: 269000
## Sensitivity              0.0000000      0.000000      0.000000     0.0000000
## Specificity              1.0000000      1.000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9990106      0.998763      0.998516     0.9995053
## Prevalence               0.0009894      0.001237      0.001484     0.0004947
## Detection Rate           0.0000000      0.000000      0.000000     0.0000000
## Detection Prevalence     0.0000000      0.000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000      0.500000     0.5000000
##                      Class: 270000 Class: 271000 Class: 272000 Class: 273000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.994558      0.998763      0.998763      0.999258
## Prevalence                0.005442      0.001237      0.001237      0.000742
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 274000 Class: 275000 Class: 276000 Class: 277000
## Sensitivity               0.000000      0.000000      0.000000     0.0000000
## Specificity               1.000000      1.000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.999258      0.995548      0.998516     0.9990106
## Prevalence                0.000742      0.004452      0.001484     0.0009894
## Detection Rate            0.000000      0.000000      0.000000     0.0000000
## Detection Prevalence      0.000000      0.000000      0.000000     0.0000000
## Balanced Accuracy         0.500000      0.500000      0.500000     0.5000000
##                      Class: 278000 Class: 279000 Class: 280000 Class: 281000
## Sensitivity               0.000000      0.000000      0.000000      0.000000
## Specificity               1.000000      1.000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998763      0.999258      0.994311      0.999258
## Prevalence                0.001237      0.000742      0.005689      0.000742
## Detection Rate            0.000000      0.000000      0.000000      0.000000
## Detection Prevalence      0.000000      0.000000      0.000000      0.000000
## Balanced Accuracy         0.500000      0.500000      0.500000      0.500000
##                      Class: 282000 Class: 283000 Class: 284000 Class: 285000
## Sensitivity               0.000000     0.0000000      0.000000      0.000000
## Specificity               1.000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998763     0.9990106      0.998516      0.997527
## Prevalence                0.001237     0.0009894      0.001484      0.002473
## Detection Rate            0.000000     0.0000000      0.000000      0.000000
## Detection Prevalence      0.000000     0.0000000      0.000000      0.000000
## Balanced Accuracy         0.500000     0.5000000      0.500000      0.500000
##                      Class: 286000 Class: 287000 Class: 288000 Class: 289000
## Sensitivity              0.0000000      0.000000      0.000000     0.0000000
## Specificity              1.0000000      1.000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9990106      0.998763      0.998763     0.9990106
## Prevalence               0.0009894      0.001237      0.001237     0.0009894
## Detection Rate           0.0000000      0.000000      0.000000     0.0000000
## Detection Prevalence     0.0000000      0.000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000      0.500000     0.5000000
##                      Class: 290000 Class: 291000 Class: 292000 Class: 293000
## Sensitivity                0.00000     0.0000000      0.000000     0.0000000
## Specificity                1.00000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value             0.99629     0.9995053      0.999258     0.9990106
## Prevalence                 0.00371     0.0004947      0.000742     0.0009894
## Detection Rate             0.00000     0.0000000      0.000000     0.0000000
## Detection Prevalence       0.00000     0.0000000      0.000000     0.0000000
## Balanced Accuracy          0.50000     0.5000000      0.500000     0.5000000
##                      Class: 294000 Class: 295000 Class: 296000 Class: 297000
## Sensitivity              0.0000000      0.000000     0.0000000     0.0000000
## Specificity              1.0000000      1.000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053      0.998269     0.9990106     0.9995053
## Prevalence               0.0004947      0.001731     0.0009894     0.0004947
## Detection Rate           0.0000000      0.000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000      0.000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000     0.5000000     0.5000000
##                      Class: 298000 Class: 299000 Class: 3e+05 Class: 301000
## Sensitivity              0.0000000     0.0000000      0.00000      0.000000
## Specificity              1.0000000     1.0000000      1.00000      1.000000
## Pos Pred Value                 NaN           NaN          NaN           NaN
## Neg Pred Value           0.9990106     0.9995053      0.99159      0.999258
## Prevalence               0.0009894     0.0004947      0.00841      0.000742
## Detection Rate           0.0000000     0.0000000      0.00000      0.000000
## Detection Prevalence     0.0000000     0.0000000      0.00000      0.000000
## Balanced Accuracy        0.5000000     0.5000000      0.50000      0.500000
##                      Class: 302000 Class: 303000 Class: 304000 Class: 305000
## Sensitivity               0.000000      0.000000     0.0000000      0.000000
## Specificity               1.000000      1.000000     1.0000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.999258      0.999258     0.9990106      0.998269
## Prevalence                0.000742      0.000742     0.0009894      0.001731
## Detection Rate            0.000000      0.000000     0.0000000      0.000000
## Detection Prevalence      0.000000      0.000000     0.0000000      0.000000
## Balanced Accuracy         0.500000      0.500000     0.5000000      0.500000
##                      Class: 306000 Class: 307000 Class: 308000 Class: 309000
## Sensitivity              0.0000000     0.0000000      0.000000     0.0000000
## Specificity              1.0000000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9990106     0.9990106      0.998763     0.9997527
## Prevalence               0.0009894     0.0009894      0.001237     0.0002473
## Detection Rate           0.0000000     0.0000000      0.000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000     0.5000000
##                      Class: 310000 Class: 311000 Class: 312000 Class: 313000
## Sensitivity               0.000000     0.0000000     0.0000000      0.000000
## Specificity               1.000000     1.0000000     1.0000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996537     0.9995053     0.9995053      0.999258
## Prevalence                0.003463     0.0004947     0.0004947      0.000742
## Detection Rate            0.000000     0.0000000     0.0000000      0.000000
## Detection Prevalence      0.000000     0.0000000     0.0000000      0.000000
## Balanced Accuracy         0.500000     0.5000000     0.5000000      0.500000
##                      Class: 314000 Class: 315000 Class: 316000 Class: 317000
## Sensitivity              0.0000000      0.000000     0.0000000     0.0000000
## Specificity              1.0000000      1.000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527      0.998021     0.9997527     0.9995053
## Prevalence               0.0002473      0.001979     0.0002473     0.0004947
## Detection Rate           0.0000000      0.000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000      0.000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000     0.5000000     0.5000000
##                      Class: 318000 Class: 319000 Class: 320000 Class: 321000
## Sensitivity              0.0000000     0.0000000      0.000000     0.0000000
## Specificity              1.0000000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053     0.9995053      0.995795     0.9995053
## Prevalence               0.0004947     0.0004947      0.004205     0.0004947
## Detection Rate           0.0000000     0.0000000      0.000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000     0.5000000
##                      Class: 322000 Class: 323000 Class: 324000 Class: 325000
## Sensitivity              0.0000000     0.0000000      0.000000      0.000000
## Specificity              1.0000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9990106      0.999258      0.997279
## Prevalence               0.0002473     0.0009894      0.000742      0.002721
## Detection Rate           0.0000000     0.0000000      0.000000      0.000000
## Detection Prevalence     0.0000000     0.0000000      0.000000      0.000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000      0.500000
##                      Class: 326000 Class: 327000 Class: 328000 Class: 329000
## Sensitivity              0.0000000     0.0000000      0.000000      0.000000
## Specificity              1.0000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9995053      0.999258      0.999258
## Prevalence               0.0002473     0.0004947      0.000742      0.000742
## Detection Rate           0.0000000     0.0000000      0.000000      0.000000
## Detection Prevalence     0.0000000     0.0000000      0.000000      0.000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000      0.500000
##                      Class: 330000 Class: 331000 Class: 332000 Class: 333000
## Sensitivity               0.000000     0.0000000      0.000000      0.000000
## Specificity               1.000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.996785     0.9997527      0.999258      0.999258
## Prevalence                0.003215     0.0002473      0.000742      0.000742
## Detection Rate            0.000000     0.0000000      0.000000      0.000000
## Detection Prevalence      0.000000     0.0000000      0.000000      0.000000
## Balanced Accuracy         0.500000     0.5000000      0.500000      0.500000
##                      Class: 334000 Class: 335000 Class: 336000 Class: 337000
## Sensitivity               0.000000     0.0000000     0.0000000     0.0000000
## Specificity               1.000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.999258     0.9990106     0.9995053     0.9995053
## Prevalence                0.000742     0.0009894     0.0004947     0.0004947
## Detection Rate            0.000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence      0.000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy         0.500000     0.5000000     0.5000000     0.5000000
##                      Class: 338000 Class: 339000 Class: 340000 Class: 341000
## Sensitivity              0.0000000     0.0000000      0.000000     0.0000000
## Specificity              1.0000000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053     0.9997527      0.996785     0.9995053
## Prevalence               0.0004947     0.0002473      0.003215     0.0004947
## Detection Rate           0.0000000     0.0000000      0.000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000     0.5000000
##                      Class: 342000 Class: 343000 Class: 344000 Class: 345000
## Sensitivity              0.0000000     0.0000000      0.000000      0.000000
## Specificity              1.0000000     1.0000000      1.000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053     0.9995053      0.999258      0.998763
## Prevalence               0.0004947     0.0004947      0.000742      0.001237
## Detection Rate           0.0000000     0.0000000      0.000000      0.000000
## Detection Prevalence     0.0000000     0.0000000      0.000000      0.000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000      0.500000
##                      Class: 346000 Class: 347000 Class: 348000 Class: 349000
## Sensitivity              0.0000000     0.0000000     0.0000000     0.0000000
## Specificity              1.0000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053     0.9997527     0.9995053     0.9995053
## Prevalence               0.0004947     0.0002473     0.0004947     0.0004947
## Detection Rate           0.0000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000     0.5000000     0.5000000
##                      Class: 350000 Class: 351000 Class: 352000 Class: 353000
## Sensitivity               0.000000     0.0000000     0.0000000     0.0000000
## Specificity               1.000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.995053     0.9997527     0.9997527     0.9995053
## Prevalence                0.004947     0.0002473     0.0002473     0.0004947
## Detection Rate            0.000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence      0.000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy         0.500000     0.5000000     0.5000000     0.5000000
##                      Class: 354000 Class: 355000 Class: 356000 Class: 357000
## Sensitivity              0.0000000      0.000000     0.0000000     0.0000000
## Specificity              1.0000000      1.000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053      0.999258     0.9995053     0.9995053
## Prevalence               0.0004947      0.000742     0.0004947     0.0004947
## Detection Rate           0.0000000      0.000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000      0.000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000     0.5000000     0.5000000
##                      Class: 358000 Class: 359000 Class: 360000 Class: 361000
## Sensitivity              0.0000000     0.0000000      0.000000     0.0000000
## Specificity              1.0000000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9995053      0.997774     0.9997527
## Prevalence               0.0002473     0.0004947      0.002226     0.0002473
## Detection Rate           0.0000000     0.0000000      0.000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000     0.5000000
##                      Class: 362000 Class: 363000 Class: 364000 Class: 365000
## Sensitivity              0.0000000      0.000000            NA      0.000000
## Specificity              1.0000000      1.000000             1      1.000000
## Pos Pred Value                 NaN           NaN            NA           NaN
## Neg Pred Value           0.9997527      0.999258            NA      0.998516
## Prevalence               0.0002473      0.000742             0      0.001484
## Detection Rate           0.0000000      0.000000             0      0.000000
## Detection Prevalence     0.0000000      0.000000             0      0.000000
## Balanced Accuracy        0.5000000      0.500000            NA      0.500000
##                      Class: 366000 Class: 367000 Class: 368000 Class: 369000
## Sensitivity              0.0000000     0.0000000     0.0000000     0.0000000
## Specificity              1.0000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9995053     0.9995053     0.9997527
## Prevalence               0.0002473     0.0004947     0.0004947     0.0002473
## Detection Rate           0.0000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000     0.5000000     0.5000000
##                      Class: 370000 Class: 371000 Class: 372000 Class: 373000
## Sensitivity               0.000000     0.0000000     0.0000000     0.0000000
## Specificity               1.000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998021     0.9997527     0.9995053     0.9997527
## Prevalence                0.001979     0.0002473     0.0004947     0.0002473
## Detection Rate            0.000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence      0.000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy         0.500000     0.5000000     0.5000000     0.5000000
##                      Class: 374000 Class: 375000 Class: 376000 Class: 377000
## Sensitivity              0.0000000      0.000000     0.0000000     0.0000000
## Specificity              1.0000000      1.000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527      0.998763     0.9995053     0.9995053
## Prevalence               0.0002473      0.001237     0.0004947     0.0004947
## Detection Rate           0.0000000      0.000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000      0.000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000     0.5000000     0.5000000
##                      Class: 378000 Class: 379000 Class: 380000 Class: 381000
## Sensitivity              0.0000000     0.0000000      0.000000     0.0000000
## Specificity              1.0000000     1.0000000      1.000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9995053     0.9997527      0.997527     0.9997527
## Prevalence               0.0004947     0.0002473      0.002473     0.0002473
## Detection Rate           0.0000000     0.0000000      0.000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000      0.000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000      0.500000     0.5000000
##                      Class: 382000 Class: 383000 Class: 384000 Class: 385000
## Sensitivity              0.0000000     0.0000000     0.0000000      0.000000
## Specificity              1.0000000     1.0000000     1.0000000      1.000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9995053     0.9995053      0.998516
## Prevalence               0.0002473     0.0004947     0.0004947      0.001484
## Detection Rate           0.0000000     0.0000000     0.0000000      0.000000
## Detection Prevalence     0.0000000     0.0000000     0.0000000      0.000000
## Balanced Accuracy        0.5000000     0.5000000     0.5000000      0.500000
##                      Class: 386000 Class: 387000 Class: 388000 Class: 389000
## Sensitivity              0.0000000     0.0000000     0.0000000     0.0000000
## Specificity              1.0000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527     0.9997527     0.9997527     0.9997527
## Prevalence               0.0002473     0.0002473     0.0002473     0.0002473
## Detection Rate           0.0000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000     0.5000000     0.5000000     0.5000000
##                      Class: 390000 Class: 391000 Class: 392000 Class: 393000
## Sensitivity               0.000000     0.0000000     0.0000000     0.0000000
## Specificity               1.000000     1.0000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value            0.998763     0.9997527     0.9997527     0.9997527
## Prevalence                0.001237     0.0002473     0.0002473     0.0002473
## Detection Rate            0.000000     0.0000000     0.0000000     0.0000000
## Detection Prevalence      0.000000     0.0000000     0.0000000     0.0000000
## Balanced Accuracy         0.500000     0.5000000     0.5000000     0.5000000
##                      Class: 394000 Class: 395000 Class: 396000 Class: 397000
## Sensitivity                     NA     0.0000000     0.0000000     0.0000000
## Specificity                      1     1.0000000     1.0000000     1.0000000
## Pos Pred Value                  NA           NaN           NaN           NaN
## Neg Pred Value                  NA     0.9990106     0.9995053     0.9997527
## Prevalence                       0     0.0009894     0.0004947     0.0002473
## Detection Rate                   0     0.0000000     0.0000000     0.0000000
## Detection Prevalence             0     0.0000000     0.0000000     0.0000000
## Balanced Accuracy               NA     0.5000000     0.5000000     0.5000000
##                      Class: 398000 Class: 399000 Class: 4e+05 Class: 401000
## Sensitivity              0.0000000            NA     0.000000     0.0000000
## Specificity              1.0000000             1     1.000000     1.0000000
## Pos Pred Value                 NaN            NA          NaN           NaN
## Neg Pred Value           0.9997527            NA     0.995548     0.9995053
## Prevalence               0.0002473             0     0.004452     0.0004947
## Detection Rate           0.0000000             0     0.000000     0.0000000
## Detection Prevalence     0.0000000             0     0.000000     0.0000000
## Balanced Accuracy        0.5000000            NA     0.500000     0.5000000
##                      Class: 402000 Class: 403000 Class: 404000 Class: 405000
## Sensitivity              0.0000000            NA     0.0000000      0.000000
## Specificity              1.0000000             1     1.0000000      1.000000
## Pos Pred Value                 NaN            NA           NaN           NaN
## Neg Pred Value           0.9997527            NA     0.9997527      0.999258
## Prevalence               0.0002473             0     0.0002473      0.000742
## Detection Rate           0.0000000             0     0.0000000      0.000000
## Detection Prevalence     0.0000000             0     0.0000000      0.000000
## Balanced Accuracy        0.5000000            NA     0.5000000      0.500000
##                      Class: 406000 Class: 407000 Class: 408000 Class: 409000
## Sensitivity              0.0000000     0.0000000            NA     0.0000000
## Specificity              1.0000000     1.0000000             1     1.0000000
## Pos Pred Value                 NaN           NaN            NA           NaN
## Neg Pred Value           0.9997527     0.9997527            NA     0.9997527
## Prevalence               0.0002473     0.0002473             0     0.0002473
## Detection Rate           0.0000000     0.0000000             0     0.0000000
## Detection Prevalence     0.0000000     0.0000000             0     0.0000000
## Balanced Accuracy        0.5000000     0.5000000            NA     0.5000000
##                      Class: 410000 Class: 411000 Class: 412000 Class: 413000
## Sensitivity               0.000000     0.0000000     0.0000000            NA
## Specificity               1.000000     1.0000000     1.0000000             1
## Pos Pred Value                 NaN           NaN           NaN            NA
## Neg Pred Value            0.998763     0.9995053     0.9997527            NA
## Prevalence                0.001237     0.0004947     0.0002473             0
## Detection Rate            0.000000     0.0000000     0.0000000             0
## Detection Prevalence      0.000000     0.0000000     0.0000000             0
## Balanced Accuracy         0.500000     0.5000000     0.5000000            NA
##                      Class: 414000 Class: 415000 Class: 416000 Class: 417000
## Sensitivity              0.0000000      0.000000     0.0000000     0.0000000
## Specificity              1.0000000      1.000000     1.0000000     1.0000000
## Pos Pred Value                 NaN           NaN           NaN           NaN
## Neg Pred Value           0.9997527      0.999258     0.9997527     0.9997527
## Prevalence               0.0002473      0.000742     0.0002473     0.0002473
## Detection Rate           0.0000000      0.000000     0.0000000     0.0000000
## Detection Prevalence     0.0000000      0.000000     0.0000000     0.0000000
## Balanced Accuracy        0.5000000      0.500000     0.5000000     0.5000000
##                      Class: 418000 Class: 419000 Class: 420000 Class: 421000
## Sensitivity              0.0000000            NA      0.000000     0.0000000
## Specificity              1.0000000             1      1.000000     1.0000000
## Pos Pred Value                 NaN            NA           NaN           NaN
## Neg Pred Value           0.9997527            NA      0.998269     0.9997527
## Prevalence               0.0002473             0      0.001731     0.0002473
## Detection Rate           0.0000000             0      0.000000     0.0000000
## Detection Prevalence     0.0000000             0      0.000000     0.0000000
## Balanced Accuracy        0.5000000            NA      0.500000     0.5000000
##                      Class: 422000 Class: 423000 Class: 424000 Class: 425000
## Sensitivity                     NA     0.0000000            NA     0.0000000
## Specificity                      1     1.0000000             1     1.0000000
## Pos Pred Value                  NA           NaN            NA           NaN
## Neg Pred Value                  NA     0.9997527            NA     0.9990106
## Prevalence                       0     0.0002473             0     0.0009894
## Detection Rate                   0     0.0000000             0     0.0000000
## Detection Prevalence             0     0.0000000             0     0.0000000
## Balanced Accuracy               NA     0.5000000            NA     0.5000000
##                      Class: 426000 Class: 427000 Class: 428000 Class: 429000
## Sensitivity                     NA     0.0000000     0.0000000            NA
## Specificity                      1     1.0000000     1.0000000             1
## Pos Pred Value                  NA           NaN           NaN            NA
## Neg Pred Value                  NA     0.9997527     0.9997527            NA
## Prevalence                       0     0.0002473     0.0002473             0
## Detection Rate                   0     0.0000000     0.0000000             0
## Detection Prevalence             0     0.0000000     0.0000000             0
## Balanced Accuracy               NA     0.5000000     0.5000000            NA
##                      Class: 430000 Class: 431000 Class: 432000 Class: 433000
## Sensitivity               0.000000            NA     0.0000000            NA
## Specificity               1.000000             1     1.0000000             1
## Pos Pred Value                 NaN            NA           NaN            NA
## Neg Pred Value            0.999258            NA     0.9997527            NA
## Prevalence                0.000742             0     0.0002473             0
## Detection Rate            0.000000             0     0.0000000             0
## Detection Prevalence      0.000000             0     0.0000000             0
## Balanced Accuracy         0.500000            NA     0.5000000            NA
##                      Class: 434000 Class: 435000 Class: 436000 Class: 437000
## Sensitivity              0.0000000     0.0000000            NA     0.0000000
## Specificity              1.0000000     1.0000000             1     1.0000000
## Pos Pred Value                 NaN           NaN            NA           NaN
## Neg Pred Value           0.9997527     0.9995053            NA     0.9997527
## Prevalence               0.0002473     0.0004947             0     0.0002473
## Detection Rate           0.0000000     0.0000000             0     0.0000000
## Detection Prevalence     0.0000000     0.0000000             0     0.0000000
## Balanced Accuracy        0.5000000     0.5000000            NA     0.5000000
##                      Class: 438000 Class: 439000 Class: 440000 Class: 441000
## Sensitivity                     NA            NA      0.000000     0.0000000
## Specificity                      1             1      1.000000     1.0000000
## Pos Pred Value                  NA            NA           NaN           NaN
## Neg Pred Value                  NA            NA      0.998763     0.9997527
## Prevalence                       0             0      0.001237     0.0002473
## Detection Rate                   0             0      0.000000     0.0000000
## Detection Prevalence             0             0      0.000000     0.0000000
## Balanced Accuracy               NA            NA      0.500000     0.5000000
##                      Class: 442000 Class: 443000 Class: 444000 Class: 445000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity                      1             1             1     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9995053
## Prevalence                       0             0             0     0.0004947
## Detection Rate                   0             0             0     0.0000000
## Detection Prevalence             0             0             0     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 446000 Class: 447000 Class: 448000 Class: 449000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1       0.98466             1             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0       0.00000             0             0
## Detection Rate                   0       0.00000             0             0
## Detection Prevalence             0       0.01534             0             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 450000 Class: 451000 Class: 452000 Class: 453000
## Sensitivity               0.000000            NA            NA            NA
## Specificity               1.000000             1             1             1
## Pos Pred Value                 NaN            NA            NA            NA
## Neg Pred Value            0.997774            NA            NA            NA
## Prevalence                0.002226             0             0             0
## Detection Rate            0.000000             0             0             0
## Detection Prevalence      0.000000             0             0             0
## Balanced Accuracy         0.500000            NA            NA            NA
##                      Class: 454000 Class: 455000 Class: 456000 Class: 457000
## Sensitivity                     NA     0.0000000            NA            NA
## Specificity                      1     1.0000000             1             1
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA     0.9997527            NA            NA
## Prevalence                       0     0.0002473             0             0
## Detection Rate                   0     0.0000000             0             0
## Detection Prevalence             0     0.0000000             0             0
## Balanced Accuracy               NA     0.5000000            NA            NA
##                      Class: 458000 Class: 459000 Class: 460000 Class: 461000
## Sensitivity                     NA            NA      0.000000            NA
## Specificity                      1             1      1.000000       0.97255
## Pos Pred Value                  NA            NA           NaN            NA
## Neg Pred Value                  NA            NA      0.999258            NA
## Prevalence                       0             0      0.000742       0.00000
## Detection Rate                   0             0      0.000000       0.00000
## Detection Prevalence             0             0      0.000000       0.02745
## Balanced Accuracy               NA            NA      0.500000            NA
##                      Class: 462000 Class: 463000 Class: 464000 Class: 465000
## Sensitivity                     NA            NA     0.0000000     0.0000000
## Specificity                      1             1     1.0000000     1.0000000
## Pos Pred Value                  NA            NA           NaN           NaN
## Neg Pred Value                  NA            NA     0.9997527     0.9997527
## Prevalence                       0             0     0.0002473     0.0002473
## Detection Rate                   0             0     0.0000000     0.0000000
## Detection Prevalence             0             0     0.0000000     0.0000000
## Balanced Accuracy               NA            NA     0.5000000     0.5000000
##                      Class: 467000 Class: 468000 Class: 469000 Class: 470000
## Sensitivity                     NA     0.0000000            NA     0.0000000
## Specificity                      1     1.0000000             1     1.0000000
## Pos Pred Value                  NA           NaN            NA           NaN
## Neg Pred Value                  NA     0.9997527            NA     0.9995053
## Prevalence                       0     0.0002473             0     0.0004947
## Detection Rate                   0     0.0000000             0     0.0000000
## Detection Prevalence             0     0.0000000             0     0.0000000
## Balanced Accuracy               NA     0.5000000            NA     0.5000000
##                      Class: 471000 Class: 473000 Class: 474000 Class: 475000
## Sensitivity                     NA     0.0000000            NA     0.0000000
## Specificity                      1     1.0000000             1     1.0000000
## Pos Pred Value                  NA           NaN            NA           NaN
## Neg Pred Value                  NA     0.9997527            NA     0.9995053
## Prevalence                       0     0.0002473             0     0.0004947
## Detection Rate                   0     0.0000000             0     0.0000000
## Detection Prevalence             0     0.0000000             0     0.0000000
## Balanced Accuracy               NA     0.5000000            NA     0.5000000
##                      Class: 476000 Class: 477000 Class: 478000 Class: 479000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1       0.90279             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0       0.00000             0
## Detection Rate                   0             0       0.00000             0
## Detection Prevalence             0             0       0.09721             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 480000 Class: 481000 Class: 482000 Class: 483000
## Sensitivity               0.000000            NA            NA     0.0000000
## Specificity               1.000000             1             1     1.0000000
## Pos Pred Value                 NaN            NA            NA           NaN
## Neg Pred Value            0.999258            NA            NA     0.9997527
## Prevalence                0.000742             0             0     0.0002473
## Detection Rate            0.000000             0             0     0.0000000
## Detection Prevalence      0.000000             0             0     0.0000000
## Balanced Accuracy         0.500000            NA            NA     0.5000000
##                      Class: 484000 Class: 485000 Class: 486000 Class: 487000
## Sensitivity                     NA     0.0000000            NA            NA
## Specificity                0.95869     1.0000000             1       0.98714
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA     0.9995053            NA            NA
## Prevalence                 0.00000     0.0004947             0       0.00000
## Detection Rate             0.00000     0.0000000             0       0.00000
## Detection Prevalence       0.04131     0.0000000             0       0.01286
## Balanced Accuracy               NA     0.5000000            NA            NA
##                      Class: 488000 Class: 489000 Class: 490000 Class: 491000
## Sensitivity              0.0000000            NA      0.000000            NA
## Specificity              1.0000000        0.9817      1.000000       0.91764
## Pos Pred Value                 NaN            NA           NaN            NA
## Neg Pred Value           0.9997527            NA      0.999258            NA
## Prevalence               0.0002473        0.0000      0.000742       0.00000
## Detection Rate           0.0000000        0.0000      0.000000       0.00000
## Detection Prevalence     0.0000000        0.0183      0.000000       0.08236
## Balanced Accuracy        0.5000000            NA      0.500000            NA
##                      Class: 492000 Class: 493000 Class: 495000 Class: 496000
## Sensitivity                     NA            NA     0.0000000            NA
## Specificity                      1             1     1.0000000             1
## Pos Pred Value                  NA            NA           NaN            NA
## Neg Pred Value                  NA            NA     0.9997527            NA
## Prevalence                       0             0     0.0002473             0
## Detection Rate                   0             0     0.0000000             0
## Detection Prevalence             0             0     0.0000000             0
## Balanced Accuracy               NA            NA     0.5000000            NA
##                      Class: 497000 Class: 498000 Class: 499000 Class: 5e+05
## Sensitivity                     NA            NA            NA     0.000000
## Specificity                      1             1       0.98936     1.000000
## Pos Pred Value                  NA            NA            NA          NaN
## Neg Pred Value                  NA            NA            NA     0.997527
## Prevalence                       0             0       0.00000     0.002473
## Detection Rate                   0             0       0.00000     0.000000
## Detection Prevalence             0             0       0.01064     0.000000
## Balanced Accuracy               NA            NA            NA     0.500000
##                      Class: 501000 Class: 502000 Class: 503000 Class: 504000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1       0.96884             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0       0.00000             0
## Detection Rate                   0             0       0.00000             0
## Detection Prevalence             0             0       0.03116             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 505000 Class: 506000 Class: 507000 Class: 508000
## Sensitivity              0.0000000     0.0000000            NA            NA
## Specificity              1.0000000     1.0000000      0.993074             1
## Pos Pred Value                 NaN           NaN            NA            NA
## Neg Pred Value           0.9995053     0.9997527            NA            NA
## Prevalence               0.0004947     0.0002473      0.000000             0
## Detection Rate           0.0000000     0.0000000      0.000000             0
## Detection Prevalence     0.0000000     0.0000000      0.006926             0
## Balanced Accuracy        0.5000000     0.5000000            NA            NA
##                      Class: 509000 Class: 510000 Class: 511000 Class: 512000
## Sensitivity                     NA     0.0000000            NA            NA
## Specificity                      1     1.0000000             1             1
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA     0.9995053            NA            NA
## Prevalence                       0     0.0004947             0             0
## Detection Rate                   0     0.0000000             0             0
## Detection Prevalence             0     0.0000000             0             0
## Balanced Accuracy               NA     0.5000000            NA            NA
##                      Class: 513000 Class: 514000 Class: 515000 Class: 517000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1       0.97626             1       0.98689
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0       0.00000             0       0.00000
## Detection Rate                   0       0.00000             0       0.00000
## Detection Prevalence             0       0.02374             0       0.01311
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 518000 Class: 519000 Class: 520000 Class: 522000
## Sensitivity                     NA            NA      0.000000            NA
## Specificity                      1      0.996043      1.000000        0.9535
## Pos Pred Value                  NA            NA           NaN            NA
## Neg Pred Value                  NA            NA      0.999258            NA
## Prevalence                       0      0.000000      0.000742        0.0000
## Detection Rate                   0      0.000000      0.000000        0.0000
## Detection Prevalence             0      0.003957      0.000000        0.0465
## Balanced Accuracy               NA            NA      0.500000            NA
##                      Class: 523000 Class: 524000 Class: 525000 Class: 526000
## Sensitivity                     NA            NA     0.0000000            NA
## Specificity               0.995795             1     1.0000000             1
## Pos Pred Value                  NA            NA           NaN            NA
## Neg Pred Value                  NA            NA     0.9995053            NA
## Prevalence                0.000000             0     0.0004947             0
## Detection Rate            0.000000             0     0.0000000             0
## Detection Prevalence      0.004205             0     0.0000000             0
## Balanced Accuracy               NA            NA     0.5000000            NA
##                      Class: 527000 Class: 528000 Class: 529000 Class: 530000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity                      1             1             1     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9995053
## Prevalence                       0             0             0     0.0004947
## Detection Rate                   0             0             0     0.0000000
## Detection Prevalence             0             0             0     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 531000 Class: 532000 Class: 533000 Class: 534000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.994311       0.98095        0.9812
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000       0.00000        0.0000
## Detection Rate                   0      0.000000       0.00000        0.0000
## Detection Prevalence             0      0.005689       0.01905        0.0188
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 535000 Class: 536000 Class: 538000 Class: 539000
## Sensitivity              0.0000000     0.0000000     0.0000000            NA
## Specificity              1.0000000     1.0000000     1.0000000             1
## Pos Pred Value                 NaN           NaN           NaN            NA
## Neg Pred Value           0.9997527     0.9997527     0.9997527            NA
## Prevalence               0.0002473     0.0002473     0.0002473             0
## Detection Rate           0.0000000     0.0000000     0.0000000             0
## Detection Prevalence     0.0000000     0.0000000     0.0000000             0
## Balanced Accuracy        0.5000000     0.5000000     0.5000000            NA
##                      Class: 540000 Class: 541000 Class: 543000 Class: 545000
## Sensitivity              0.0000000            NA            NA            NA
## Specificity              1.0000000             1             1             1
## Pos Pred Value                 NaN            NA            NA            NA
## Neg Pred Value           0.9995053            NA            NA            NA
## Prevalence               0.0004947             0             0             0
## Detection Rate           0.0000000             0             0             0
## Detection Prevalence     0.0000000             0             0             0
## Balanced Accuracy        0.5000000            NA            NA            NA
##                      Class: 546000 Class: 547000 Class: 549000 Class: 550000
## Sensitivity                     NA            NA            NA      0.000000
## Specificity                      1       0.98887             1      1.000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA      0.998763
## Prevalence                       0       0.00000             0      0.001237
## Detection Rate                   0       0.00000             0      0.000000
## Detection Prevalence             0       0.01113             0      0.000000
## Balanced Accuracy               NA            NA            NA      0.500000
##                      Class: 551000 Class: 552000 Class: 553000 Class: 555000
## Sensitivity                     NA            NA            NA            NA
## Specificity                 0.9817       0.98862       0.98343             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                  0.0000       0.00000       0.00000             0
## Detection Rate              0.0000       0.00000       0.00000             0
## Detection Prevalence        0.0183       0.01138       0.01657             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 556000 Class: 557000 Class: 559000 Class: 560000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity                      1             1      0.998516     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9997527
## Prevalence                       0             0      0.000000     0.0002473
## Detection Rate                   0             0      0.000000     0.0000000
## Detection Prevalence             0             0      0.001484     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 561000 Class: 562000 Class: 563000 Class: 564000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1       0.96191      0.994311
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0       0.00000      0.000000
## Detection Rate                   0             0       0.00000      0.000000
## Detection Prevalence             0             0       0.03809      0.005689
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 565000 Class: 566000 Class: 567000 Class: 569000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.996785             1       0.98343
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000             0       0.00000
## Detection Rate                   0      0.000000             0       0.00000
## Detection Prevalence             0      0.003215             0       0.01657
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 570000 Class: 571000 Class: 572000 Class: 575000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity                      1      0.999258             1     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9997527
## Prevalence                       0      0.000000             0     0.0002473
## Detection Rate                   0      0.000000             0     0.0000000
## Detection Prevalence             0      0.000742             0     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 577000 Class: 580000 Class: 584000 Class: 585000
## Sensitivity                     NA     0.0000000            NA            NA
## Specificity                      1     1.0000000             1             1
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA     0.9997527            NA            NA
## Prevalence                       0     0.0002473             0             0
## Detection Rate                   0     0.0000000             0             0
## Detection Prevalence             0     0.0000000             0             0
## Balanced Accuracy               NA     0.5000000            NA            NA
##                      Class: 586000 Class: 588000 Class: 589000 Class: 590000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity               0.995795             1             1     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9997527
## Prevalence                0.000000             0             0     0.0002473
## Detection Rate            0.000000             0             0     0.0000000
## Detection Prevalence      0.004205             0             0     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 594000 Class: 595000 Class: 596000 Class: 598000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1      0.998516      0.994558
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0      0.000000      0.000000
## Detection Rate                   0             0      0.000000      0.000000
## Detection Prevalence             0             0      0.001484      0.005442
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 599000 Class: 6e+05 Class: 601000 Class: 602000
## Sensitivity                     NA     0.000000            NA            NA
## Specificity               0.995795     1.000000       0.98788      0.994311
## Pos Pred Value                  NA          NaN            NA            NA
## Neg Pred Value                  NA     0.998763            NA            NA
## Prevalence                0.000000     0.001237       0.00000      0.000000
## Detection Rate            0.000000     0.000000       0.00000      0.000000
## Detection Prevalence      0.004205     0.000000       0.01212      0.005689
## Balanced Accuracy               NA     0.500000            NA            NA
##                      Class: 605000 Class: 606000 Class: 607000 Class: 608000
## Sensitivity              0.0000000            NA            NA            NA
## Specificity              1.0000000             1       0.98912      0.992085
## Pos Pred Value                 NaN            NA            NA            NA
## Neg Pred Value           0.9997527            NA            NA            NA
## Prevalence               0.0002473             0       0.00000      0.000000
## Detection Rate           0.0000000             0       0.00000      0.000000
## Detection Prevalence     0.0000000             0       0.01088      0.007915
## Balanced Accuracy        0.5000000            NA            NA            NA
##                      Class: 610000 Class: 612000 Class: 613000 Class: 615000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.997527             1       0.99629
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000             0       0.00000
## Detection Rate                   0      0.000000             0       0.00000
## Detection Prevalence             0      0.002473             0       0.00371
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 616000 Class: 618000 Class: 619000 Class: 620000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity               0.998021             1             1     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9997527
## Prevalence                0.000000             0             0     0.0002473
## Detection Rate            0.000000             0             0     0.0000000
## Detection Prevalence      0.001979             0             0     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 621000 Class: 623000 Class: 625000 Class: 626000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.996537     0.9997527             1       0.96166
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000     0.0000000             0       0.00000
## Detection Rate            0.000000     0.0000000             0       0.00000
## Detection Prevalence      0.003463     0.0002473             0       0.03834
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 628000 Class: 630000 Class: 631000 Class: 633000
## Sensitivity                     NA     0.0000000            NA            NA
## Specificity                      1     1.0000000             1       0.97922
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA     0.9997527            NA            NA
## Prevalence                       0     0.0002473             0       0.00000
## Detection Rate                   0     0.0000000             0       0.00000
## Detection Prevalence             0     0.0000000             0       0.02078
## Balanced Accuracy               NA     0.5000000            NA            NA
##                      Class: 640000 Class: 642000 Class: 644000 Class: 645000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.996537             1             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000             0             0
## Detection Rate                   0      0.000000             0             0
## Detection Prevalence             0      0.003463             0             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 648000 Class: 650000 Class: 653000 Class: 654000
## Sensitivity                     NA      0.000000            NA            NA
## Specificity                      1      1.000000      0.994558     0.9990106
## Pos Pred Value                  NA           NaN            NA            NA
## Neg Pred Value                  NA      0.998763            NA            NA
## Prevalence                       0      0.001237      0.000000     0.0000000
## Detection Rate                   0      0.000000      0.000000     0.0000000
## Detection Prevalence             0      0.000000      0.005442     0.0009894
## Balanced Accuracy               NA      0.500000            NA            NA
##                      Class: 655000 Class: 658000 Class: 659000 Class: 660000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.997279      0.995548     0.9995053             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000      0.000000     0.0000000             0
## Detection Rate            0.000000      0.000000     0.0000000             0
## Detection Prevalence      0.002721      0.004452     0.0004947             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 662000 Class: 665000 Class: 669000 Class: 670000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.999258             1      0.994806             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000             0      0.000000             0
## Detection Rate            0.000000             0      0.000000             0
## Detection Prevalence      0.000742             0      0.005194             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 671000 Class: 672000 Class: 674000 Class: 675000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.995795       0.99629      0.998763             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000       0.00000      0.000000             0
## Detection Rate            0.000000       0.00000      0.000000             0
## Detection Prevalence      0.004205       0.00371      0.001237             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 677000 Class: 680000 Class: 682000 Class: 683000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1      0.992332       0.94484
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0      0.000000       0.00000
## Detection Rate                   0             0      0.000000       0.00000
## Detection Prevalence             0             0      0.007668       0.05516
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 690000 Class: 692000 Class: 694000 Class: 695000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.998516     0.9995053        0.9676
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000     0.0000000        0.0000
## Detection Rate                   0      0.000000     0.0000000        0.0000
## Detection Prevalence             0      0.001484     0.0004947        0.0324
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 696000 Class: 697000 Class: 7e+05 Class: 704000
## Sensitivity                     NA            NA    0.0000000            NA
## Specificity              0.9997527      0.997774    1.0000000       0.98961
## Pos Pred Value                  NA            NA          NaN            NA
## Neg Pred Value                  NA            NA    0.9990106            NA
## Prevalence               0.0000000      0.000000    0.0009894       0.00000
## Detection Rate           0.0000000      0.000000    0.0000000       0.00000
## Detection Prevalence     0.0002473      0.002226    0.0000000       0.01039
## Balanced Accuracy               NA            NA    0.5000000            NA
##                      Class: 706000 Class: 710000 Class: 713000 Class: 716000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.998021      0.990601       0.98516      0.998516
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000      0.000000       0.00000      0.000000
## Detection Rate            0.000000      0.000000       0.00000      0.000000
## Detection Prevalence      0.001979      0.009399       0.01484      0.001484
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 717000 Class: 720000 Class: 721000 Class: 724000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.998516      0.997527      0.999258             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000      0.000000      0.000000             0
## Detection Rate            0.000000      0.000000      0.000000             0
## Detection Prevalence      0.001484      0.002473      0.000742             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 726000 Class: 727000 Class: 730000 Class: 735000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.994806             1             1     0.9995053
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000             0             0     0.0000000
## Detection Rate            0.000000             0             0     0.0000000
## Detection Prevalence      0.005194             0             0     0.0004947
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 737000 Class: 740000 Class: 744000 Class: 750000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.998021     0.9995053      0.997527             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000     0.0000000      0.000000             0
## Detection Rate            0.000000     0.0000000      0.000000             0
## Detection Prevalence      0.001979     0.0004947      0.002473             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 751000 Class: 754000 Class: 759000 Class: 760000
## Sensitivity                     NA            NA            NA     0.0000000
## Specificity               0.999258      0.997279     0.9995053     1.0000000
## Pos Pred Value                  NA            NA            NA           NaN
## Neg Pred Value                  NA            NA            NA     0.9997527
## Prevalence                0.000000      0.000000     0.0000000     0.0002473
## Detection Rate            0.000000      0.000000     0.0000000     0.0000000
## Detection Prevalence      0.000742      0.002721     0.0004947     0.0000000
## Balanced Accuracy               NA            NA            NA     0.5000000
##                      Class: 765000 Class: 766000 Class: 767000 Class: 770000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.998269             1             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000             0             0
## Detection Rate                   0      0.000000             0             0
## Detection Prevalence             0      0.001731             0             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 775000 Class: 780000 Class: 788000 Class: 789000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1             1             1      0.995548
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0             0             0      0.000000
## Detection Rate                   0             0             0      0.000000
## Detection Prevalence             0             0             0      0.004452
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 790000 Class: 798000 Class: 799000 Class: 8e+05
## Sensitivity                     NA            NA            NA    0.0000000
## Specificity                      1     0.9990106     0.9997527    1.0000000
## Pos Pred Value                  NA            NA            NA          NaN
## Neg Pred Value                  NA            NA            NA    0.9997527
## Prevalence                       0     0.0000000     0.0000000    0.0002473
## Detection Rate                   0     0.0000000     0.0000000    0.0000000
## Detection Prevalence             0     0.0009894     0.0002473    0.0000000
## Balanced Accuracy               NA            NA            NA    0.5000000
##                      Class: 802000 Class: 805000 Class: 807000 Class: 810000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.999258             1       0.99159             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000             0       0.00000             0
## Detection Rate            0.000000             0       0.00000             0
## Detection Prevalence      0.000742             0       0.00841             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 820000 Class: 823000 Class: 824000 Class: 825000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1      0.998021     0.9997527             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0      0.000000     0.0000000             0
## Detection Rate                   0      0.000000     0.0000000             0
## Detection Prevalence             0      0.001979     0.0002473             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 838000 Class: 840000 Class: 842000 Class: 850000
## Sensitivity                     NA            NA            NA            NA
## Specificity                      1     0.9990106      0.990848             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                       0     0.0000000      0.000000             0
## Detection Rate                   0     0.0000000      0.000000             0
## Detection Prevalence             0     0.0009894      0.009152             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 851000 Class: 855000 Class: 856000 Class: 861000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.997032     0.9990106      0.999258      0.993816
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000     0.0000000      0.000000      0.000000
## Detection Rate            0.000000     0.0000000      0.000000      0.000000
## Detection Prevalence      0.002968     0.0009894      0.000742      0.006184
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 865000 Class: 870000 Class: 875000 Class: 885000
## Sensitivity                     NA            NA            NA            NA
## Specificity               0.996537      0.999258     0.9997527             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence                0.000000      0.000000     0.0000000             0
## Detection Rate            0.000000      0.000000     0.0000000             0
## Detection Prevalence      0.003463      0.000742     0.0002473             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 890000 Class: 893000 Class: 895000 Class: 896000
## Sensitivity                     NA            NA            NA            NA
## Specificity              0.9995053      0.997774     0.9997527             1
## Pos Pred Value                  NA            NA            NA            NA
## Neg Pred Value                  NA            NA            NA            NA
## Prevalence               0.0000000      0.000000     0.0000000             0
## Detection Rate           0.0000000      0.000000     0.0000000             0
## Detection Prevalence     0.0004947      0.002226     0.0002473             0
## Balanced Accuracy               NA            NA            NA            NA
##                      Class: 9e+05 Class: 910000 Class: 925000 Class: 931000
## Sensitivity                    NA            NA            NA            NA
## Specificity                     1      0.998269             1       0.99629
## Pos Pred Value                 NA            NA            NA            NA
## Neg Pred Value                 NA            NA            NA            NA
## Prevalence                      0      0.000000             0       0.00000
## Detection Rate                  0      0.000000             0       0.00000
## Detection Prevalence            0      0.001731             0       0.00371
## Balanced Accuracy              NA            NA            NA            NA
##                      Class: 950000 Class: 980000 Class: 987000 Class: 998000
## Sensitivity              0.0000000            NA            NA            NA
## Specificity              1.0000000      0.998763      0.997279             1
## Pos Pred Value                 NaN            NA            NA            NA
## Neg Pred Value           0.9997527            NA            NA            NA
## Prevalence               0.0002473      0.000000      0.000000             0
## Detection Rate           0.0000000      0.000000      0.000000             0
## Detection Prevalence     0.0000000      0.001237      0.002721             0
## Balanced Accuracy        0.5000000            NA            NA            NA
##                      Class: 1e+06 Class: 1005000 Class: 1020000 Class: 1026000
## Sensitivity                    NA             NA             NA             NA
## Specificity             0.9997527      0.9990106       0.999258      0.9995053
## Pos Pred Value                 NA             NA             NA             NA
## Neg Pred Value                 NA             NA             NA             NA
## Prevalence              0.0000000      0.0000000       0.000000      0.0000000
## Detection Rate          0.0000000      0.0000000       0.000000      0.0000000
## Detection Prevalence    0.0002473      0.0009894       0.000742      0.0004947
## Balanced Accuracy              NA             NA             NA             NA
##                      Class: 1050000 Class: 1100000 Class: 1105000
## Sensitivity                      NA             NA             NA
## Specificity                0.994064              1       0.998269
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                 0.000000              0       0.000000
## Detection Rate             0.000000              0       0.000000
## Detection Prevalence       0.005936              0       0.001731
## Balanced Accuracy                NA             NA             NA
##                      Class: 1110000 Class: 1130000 Class: 1131000
## Sensitivity                      NA             NA             NA
## Specificity                0.998763              1       0.998269
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                 0.000000              0       0.000000
## Detection Rate             0.000000              0       0.000000
## Detection Prevalence       0.001237              0       0.001731
## Balanced Accuracy                NA             NA             NA
##                      Class: 1140000 Class: 1150000 Class: 1160000
## Sensitivity                      NA             NA             NA
## Specificity               0.9995053      0.9995053              1
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                0.0000000      0.0000000              0
## Detection Rate            0.0000000      0.0000000              0
## Detection Prevalence      0.0004947      0.0004947              0
## Balanced Accuracy                NA             NA             NA
##                      Class: 1185000 Class: 1200000 Class: 1203000
## Sensitivity                      NA             NA             NA
## Specificity               0.9997527      0.9990106       0.996043
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                0.0000000      0.0000000       0.000000
## Detection Rate            0.0000000      0.0000000       0.000000
## Detection Prevalence      0.0002473      0.0009894       0.003957
## Balanced Accuracy                NA             NA             NA
##                      Class: 1210000 Class: 1218000 Class: 1225000
## Sensitivity                      NA             NA             NA
## Specificity                       1      0.9997527       0.998763
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                        0      0.0000000       0.000000
## Detection Rate                    0      0.0000000       0.000000
## Detection Prevalence              0      0.0002473       0.001237
## Balanced Accuracy                NA             NA             NA
##                      Class: 1240000 Class: 1280000 Class: 1300000
## Sensitivity                      NA             NA             NA
## Specificity                       1      0.9997527      0.9995053
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                        0      0.0000000      0.0000000
## Detection Rate                    0      0.0000000      0.0000000
## Detection Prevalence              0      0.0002473      0.0004947
## Balanced Accuracy                NA             NA             NA
##                      Class: 1400000 Class: 1470000 Class: 1605000
## Sensitivity                      NA             NA             NA
## Specificity                0.997527              1       0.996785
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                 0.000000              0       0.000000
## Detection Rate             0.000000              0       0.000000
## Detection Prevalence       0.002473              0       0.003215
## Balanced Accuracy                NA             NA             NA
##                      Class: 1733000 Class: 2372000 Class: 4500000
## Sensitivity                      NA             NA             NA
## Specificity                       1       0.998763      0.9997527
## Pos Pred Value                   NA             NA             NA
## Neg Pred Value                   NA             NA             NA
## Prevalence                        0       0.000000      0.0000000
## Detection Rate                    0       0.000000      0.0000000
## Detection Prevalence              0       0.001237      0.0002473
## Balanced Accuracy                NA             NA             NA
##                      Class: 4980000
## Sensitivity                      NA
## Specificity               0.9997527
## Pos Pred Value                   NA
## Neg Pred Value                   NA
## Prevalence                0.0000000
## Detection Rate            0.0000000
## Detection Prevalence      0.0002473
## Balanced Accuracy                NA

We could do it much simpler and easier to understand this way:

na1 = naiveBayes(totalyearlycompensation ~ ., data = train_2)
pred.na1 = predict(na1, test_2)
confusionMatrix(test_2$totalyearlycompensation, pred.na1)

## Confusion Matrix and Statistics
## 
##           Reference
## Prediction Average High  Low
##    Average    6784  341   18
##    High        263 2154   13
##    Low          17    0    1
## 
## Overall Statistics
##                                          
##                Accuracy : 0.932          
##                  95% CI : (0.9268, 0.937)
##     No Information Rate : 0.7365         
##     P-Value [Acc > NIR] : < 2.2e-16      
##                                          
##                   Kappa : 0.8237         
##                                          
##  Mcnemar's Test P-Value : 3.846e-05      
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9604      0.8633  0.0312500
## Specificity                  0.8579      0.9611  0.9982216
## Pos Pred Value               0.9497      0.8864  0.0555556
## Neg Pred Value               0.8856      0.9524  0.9967617
## Prevalence                   0.7365      0.2601  0.0033365
## Detection Rate               0.7073      0.2246  0.0001043
## Detection Prevalence         0.7448      0.2534  0.0018768
## Balanced Accuracy            0.9091      0.9122  0.5147358

We still prefer the Benchmark model. This one predicts that our variables are independent, which is not enterly true. It has weaknesses. If instead of accuracy we take other parameters, our model is not that unbalanced.

#Logistic Regression

The logistic regression models the probability of a discrete outcome by using a logistic function, which is the cumulative distribution function of the logistic distribution. We assume the mean of error is zero. We use our numerical data:

i_t = createDataPartition(data2$totalyearlycompensation, p = 0.75, list = FALSE)
train_reg1 = data2[ i_t,]
test_reg1 = data2[-i_t,]
ggcorr(data_num, label = T)

The correlation does not change much.

logit.model <- glm(totalyearlycompensation ~ ., family=binomial(link='logit'), data=train_2)
summary(logit.model)

## 
## Call:
## glm(formula = totalyearlycompensation ~ ., family = binomial(link = "logit"), 
##     data = train_2)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.3162  -0.0202  -0.0007   0.0000   5.5441  
## 
## Coefficients:
##                     Estimate Std. Error z value Pr(>|z|)    
## (Intercept)       -2.866e+01  1.090e+00 -26.305   <2e-16 ***
## yearsofexperience  6.868e-03  1.360e-02   0.505    0.613    
## yearsatcompany     1.214e-02  1.924e-02   0.631    0.528    
## basesalary         1.164e-04  4.727e-06  24.622   <2e-16 ***
## stockgrantvalue    1.211e-04  4.432e-06  27.328   <2e-16 ***
## bonus              1.210e-04  5.401e-06  22.409   <2e-16 ***
## gender            -1.775e-01  1.579e-01  -1.124    0.261    
## Race               4.084e-03  3.523e-02   0.116    0.908    
## Education          2.773e-02  5.943e-02   0.467    0.641    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 13589.7  on 11999  degrees of freedom
## Residual deviance:  1632.2  on 11991  degrees of freedom
## AIC: 1650.2
## 
## Number of Fisher Scoring iterations: 10

probability <- predict(logit.model,newdata=test_2, type='response')
head(probability)

##        23533        23535        23538        23539        23541        23545 
## 2.166679e-06 6.052608e-02 9.996455e-01 1.488411e-07 1.000000e+00 2.169128e-02

prediction <- as.factor(ifelse(probability > 0.5,"Bad","Good"))
head(prediction)

## 23533 23535 23538 23539 23541 23545 
##  Good  Good   Bad  Good   Bad  Good 
## Levels: Bad Good

But, if we use our data2, we get basically the same correlation with less variables:

i_t = createDataPartition(data2$totalyearlycompensation, p = 0.75, list = FALSE)
train_reg1 = data2[ i_t,]
test_reg1 = data2[-i_t,]
ggcorr(data_num, label = T)

Machine learning tools

Decision trees:

Decision trees are a support tool with the aspect of a tree, thus the name. It is pretty visual and let us get more insight into our model firsthand.

control = rpart.control(minsplit = 30, maxdepth = 10, cp=0.01)
model = totalyearlycompensation ~.
dtFit <- rpart(model, data=comp_train, method = "class", control = control)
summary(dtFit)

## Call:
## rpart(formula = model, data = comp_train, method = "class", control = control)
##   n= 17273 
## 
##           CP nsplit rel error    xerror        xstd
## 1 0.64557250      0 1.0000000 1.0000000 0.013028471
## 2 0.07716822      1 0.3544275 0.3544275 0.008567818
## 3 0.02947872      2 0.2772593 0.2774869 0.007662110
## 4 0.02458457      4 0.2183018 0.2390166 0.007148504
## 5 0.01730025      6 0.1691327 0.1800592 0.006253859
## 6 0.01000000      7 0.1518325 0.1659458 0.006015046
## 
## Variable importance
## stockgrantvalue      basesalary           bonus 
##              64              32               3 
## 
## Node number 1: 17273 observations,    complexity param=0.6455725
##   predicted class=Average  expected loss=0.2543276  P(node) =1
##     class counts: 12880  4357    36
##    probabilities: 0.746 0.252 0.002 
##   left son=2 (13652 obs) right son=3 (3621 obs)
##   Primary splits:
##       stockgrantvalue   < 67500  to the left,  improve=3733.4320, (0 missing)
##       basesalary        < 155500 to the left,  improve=3162.1740, (0 missing)
##       bonus             < 25500  to the left,  improve=1684.1520, (0 missing)
##       yearsofexperience < 7.5    to the left,  improve= 677.0945, (0 missing)
##       yearsatcompany    < 3.5    to the left,  improve= 144.1957, (0 missing)
##   Surrogate splits:
##       basesalary     < 180500 to the left,  agree=0.829, adj=0.186, (0 split)
##       bonus          < 65500  to the left,  agree=0.792, adj=0.008, (0 split)
##       yearsatcompany < 25.5   to the left,  agree=0.790, adj=0.000, (0 split)
## 
## Node number 2: 13652 observations,    complexity param=0.07716822
##   predicted class=Average  expected loss=0.08526223  P(node) =0.7903665
##     class counts: 12488  1129    35
##    probabilities: 0.915 0.083 0.003 
##   left son=4 (12257 obs) right son=5 (1395 obs)
##   Primary splits:
##       basesalary        < 174500 to the left,  improve=897.88570, (0 missing)
##       bonus             < 31500  to the left,  improve=549.79020, (0 missing)
##       stockgrantvalue   < 39500  to the left,  improve=191.93540, (0 missing)
##       yearsofexperience < 14.5   to the left,  improve=166.64540, (0 missing)
##       yearsatcompany    < 5.5    to the left,  improve= 37.88182, (0 missing)
##   Surrogate splits:
##       bonus             < 77500  to the left,  agree=0.901, adj=0.028, (0 split)
##       yearsofexperience < 23.5   to the left,  agree=0.899, adj=0.011, (0 split)
## 
## Node number 3: 3621 observations,    complexity param=0.02458457
##   predicted class=High     expected loss=0.1085336  P(node) =0.2096335
##     class counts:   392  3228     1
##    probabilities: 0.108 0.891 0.000 
##   left son=6 (488 obs) right son=7 (3133 obs)
##   Primary splits:
##       basesalary        < 146500 to the left,  improve=281.091500, (0 missing)
##       stockgrantvalue   < 91500  to the left,  improve=128.058600, (0 missing)
##       bonus             < 15500  to the left,  improve= 90.594840, (0 missing)
##       yearsofexperience < 3.5    to the left,  improve= 26.683380, (0 missing)
##       Education         < 3.5    to the left,  improve=  5.568732, (0 missing)
## 
## Node number 4: 12257 observations
##   predicted class=Average  expected loss=0.02423105  P(node) =0.7096046
##     class counts: 11960   262    35
##    probabilities: 0.976 0.021 0.003 
## 
## Node number 5: 1395 observations,    complexity param=0.02947872
##   predicted class=High     expected loss=0.3784946  P(node) =0.08076188
##     class counts:   528   867     0
##    probabilities: 0.378 0.622 0.000 
##   left son=10 (762 obs) right son=11 (633 obs)
##   Primary splits:
##       bonus             < 31500  to the left,  improve=136.444200, (0 missing)
##       stockgrantvalue   < 35500  to the left,  improve=111.869900, (0 missing)
##       basesalary        < 188500 to the left,  improve=108.329300, (0 missing)
##       yearsofexperience < 14.5   to the left,  improve= 10.188760, (0 missing)
##       yearsatcompany    < 9.5    to the left,  improve=  3.486223, (0 missing)
##   Surrogate splits:
##       yearsatcompany    < 5.5    to the left,  agree=0.606, adj=0.131, (0 split)
##       yearsofexperience < 13.5   to the left,  agree=0.602, adj=0.123, (0 split)
##       basesalary        < 203500 to the left,  agree=0.588, adj=0.092, (0 split)
##       stockgrantvalue   < 44500  to the left,  agree=0.550, adj=0.008, (0 split)
## 
## Node number 6: 488 observations,    complexity param=0.02458457
##   predicted class=Average  expected loss=0.3934426  P(node) =0.02825219
##     class counts:   296   191     1
##    probabilities: 0.607 0.391 0.002 
##   left son=12 (349 obs) right son=13 (139 obs)
##   Primary splits:
##       stockgrantvalue   < 104500 to the left,  improve=99.867670, (0 missing)
##       bonus             < 24500  to the left,  improve=24.353470, (0 missing)
##       basesalary        < 126500 to the left,  improve=14.620010, (0 missing)
##       yearsofexperience < 6.5    to the left,  improve=10.400010, (0 missing)
##       yearsatcompany    < 5.5    to the left,  improve= 3.842734, (0 missing)
##   Surrogate splits:
##       yearsofexperience < 20.5   to the left,  agree=0.719, adj=0.014, (0 split)
##       yearsatcompany    < 7.5    to the left,  agree=0.717, adj=0.007, (0 split)
## 
## Node number 7: 3133 observations
##   predicted class=High     expected loss=0.03064156  P(node) =0.1813813
##     class counts:    96  3037     0
##    probabilities: 0.031 0.969 0.000 
## 
## Node number 10: 762 observations,    complexity param=0.02947872
##   predicted class=Average  expected loss=0.4199475  P(node) =0.04411509
##     class counts:   442   320     0
##    probabilities: 0.580 0.420 0.000 
##   left son=20 (509 obs) right son=21 (253 obs)
##   Primary splits:
##       stockgrantvalue < 38500  to the left,  improve=93.221370, (0 missing)
##       basesalary      < 224500 to the left,  improve=65.569260, (0 missing)
##       bonus           < 28500  to the left,  improve= 8.369338, (0 missing)
##       yearsatcompany  < 10.5   to the right, improve= 4.848005, (0 missing)
##       Race            < 2.5    to the right, improve= 2.965378, (0 missing)
##   Surrogate splits:
##       yearsatcompany < 0.5    to the right, agree=0.672, adj=0.012, (0 split)
##       bonus          < 30500  to the left,  agree=0.669, adj=0.004, (0 split)
## 
## Node number 11: 633 observations
##   predicted class=High     expected loss=0.135861  P(node) =0.03664679
##     class counts:    86   547     0
##    probabilities: 0.136 0.864 0.000 
## 
## Node number 12: 349 observations
##   predicted class=Average  expected loss=0.1919771  P(node) =0.02020494
##     class counts:   282    66     1
##    probabilities: 0.808 0.189 0.003 
## 
## Node number 13: 139 observations
##   predicted class=High     expected loss=0.1007194  P(node) =0.008047241
##     class counts:    14   125     0
##    probabilities: 0.101 0.899 0.000 
## 
## Node number 20: 509 observations,    complexity param=0.01730025
##   predicted class=Average  expected loss=0.2455796  P(node) =0.02946796
##     class counts:   384   125     0
##    probabilities: 0.754 0.246 0.000 
##   left son=40 (433 obs) right son=41 (76 obs)
##   Primary splits:
##       basesalary      < 243000 to the left,  improve=101.695200, (0 missing)
##       bonus           < 500    to the right, improve=  9.730071, (0 missing)
##       stockgrantvalue < 16500  to the left,  improve=  2.858383, (0 missing)
##       yearsatcompany  < 10.5   to the right, improve=  2.423978, (0 missing)
##       Education       < 2.5    to the right, improve=  1.220304, (0 missing)
##   Surrogate splits:
##       yearsofexperience < 0.5    to the right, agree=0.855, adj=0.026, (0 split)
## 
## Node number 21: 253 observations
##   predicted class=High     expected loss=0.229249  P(node) =0.01464714
##     class counts:    58   195     0
##    probabilities: 0.229 0.771 0.000 
## 
## Node number 40: 433 observations
##   predicted class=Average  expected loss=0.113164  P(node) =0.02506803
##     class counts:   384    49     0
##    probabilities: 0.887 0.113 0.000 
## 
## Node number 41: 76 observations
##   predicted class=High     expected loss=0  P(node) =0.004399931
##     class counts:     0    76     0
##    probabilities: 0.000 1.000 0.000

rpart.plot(dtFit, digits=3)

Now, changing the minsplit, maxdepth and cp:

control = rpart.control(minsplit = 40, maxdepth = 12, cp=0.001)
dtFit <- rpart(model, data=comp_train, method = "class", control = control)

rpart.plot(dtFit, digits = 3)

With caret:

caret.fit <- train(model, 
                   data = comp_train, 
                   method = "rpart",
                   control=rpart.control(minsplit = 40, maxdepth = 12),
                   trControl = trainControl(method = "cv", number = 5),
                   tuneLength=10)
caret.fit

## CART 
## 
## 17273 samples
##     8 predictor
##     3 classes: 'Average', 'High', 'Low' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 13819, 13819, 13818, 13818, 13818 
## Resampling results across tuning parameters:
## 
##   cp           Accuracy   Kappa    
##   0.004325063  0.9692586  0.9188030
##   0.004400941  0.9685639  0.9171532
##   0.005007967  0.9660166  0.9102719
##   0.005235602  0.9660166  0.9102719
##   0.009333030  0.9593012  0.8919360
##   0.017300250  0.9543228  0.8779698
##   0.024584566  0.9404280  0.8434898
##   0.029478716  0.9348119  0.8310065
##   0.077168222  0.9273423  0.8095392
##   0.645572502  0.8091746  0.2926497
## 
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.004325063.

rpart.plot(caret.fit$finalModel)

Similar to the previous one, but now we can get more insight into the parameters, so far so good.

Random Forest

The random forest is an ensemble learning method for classification, regression and others. It consists of a lot of decision trees (therefore the name forest). It builds it randomly each tree and the accuracy is usually better than an individual tree. We will implement cross-validation to ensure all of our data will be used.

spl = sample(1:nrow(data3), 7000)
train_1 = data_num[spl,]
test_1 = data_num[-spl,]
train_2 = data3[spl,]
test_2 = data3[-spl,]

ctrl = trainControl( method = 'cv', number = 5)
#rf1 = train(totalyearlycompensation~., data = train_2, method = 'rf', 
#           trControl = ctrl, tuneLength = 9)

#plot(varImp(rf1))

We prepare our data to have less overfitting and a better balance.The simpler we make it, the better our results will be.

trees = train(totalyearlycompensation~., data = train_2, method = 'rpart', 
              trControl = ctrl,
              tuneLength = 20)
pred = predict(trees, test_2);confusionMatrix(table(test_2[,"totalyearlycompensation"],pred))

## Confusion Matrix and Statistics
## 
##          pred
##           Average  High   Low
##   Average   10732   163     0
##   High        159  3510     0
##   Low          27     0     0
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9761          
##                  95% CI : (0.9735, 0.9785)
##     No Information Rate : 0.7483          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9367          
##                                           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9830      0.9556         NA
## Specificity                  0.9556      0.9854    0.99815
## Pos Pred Value               0.9850      0.9567         NA
## Neg Pred Value               0.9497      0.9851         NA
## Prevalence                   0.7483      0.2517    0.00000
## Detection Rate               0.7355      0.2406    0.00000
## Detection Prevalence         0.7467      0.2515    0.00185
## Balanced Accuracy            0.9693      0.9705         NA

We have a lower accuracy for the trees due to the change our data splits, so, according to the model this is our best tree:

print(trees);plot(trees);trees$bestTune

## CART 
## 
## 7000 samples
##    8 predictor
##    3 classes: 'Average', 'High', 'Low' 
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 5600, 5600, 5601, 5599, 5600 
## Resampling results across tuning parameters:
## 
##   cp          Accuracy   Kappa    
##   0.00000000  0.9734292  0.9299198
##   0.03345551  0.9292833  0.8177803
##   0.06691101  0.9308537  0.8241312
##   0.10036652  0.9248513  0.7996990
##   0.13382202  0.9065703  0.7404016
##   0.16727753  0.9065703  0.7404016
##   0.20073303  0.9065703  0.7404016
##   0.23418854  0.9065703  0.7404016
##   0.26764404  0.9065703  0.7404016
##   0.30109955  0.9065703  0.7404016
##   0.33455505  0.9065703  0.7404016
##   0.36801056  0.9065703  0.7404016
##   0.40146606  0.9065703  0.7404016
##   0.43492157  0.9065703  0.7404016
##   0.46837707  0.9065703  0.7404016
##   0.50183258  0.9065703  0.7404016
##   0.53528808  0.9065703  0.7404016
##   0.56874359  0.9065703  0.7404016
##   0.60219909  0.9065703  0.7404016
##   0.63565460  0.8395946  0.4412513
## 
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.

##   cp
## 1  0

tree1 = rpart(train_2, maxdepth = 5, cp = 0.005)
rpart.plot(tree1,fallen.leaves = T)

plot(varImp(trees))

The most important variable to classify is the base salary, followed closely by the stock grant value. This makes sense because the base salary is an important factor to a person’s job and the grant value, too. It is also followed by the bonus, which also makes sense because the bonus is kind of important when seeing a person’s work.

Gradient Boosting

Gradient Boosting relies on the intuition that the next best model combined with previous ones, will minimize the overall prediction error. This process is the one that takes the most time. However, it is better than boosting (its smaller brother), since it avoids overfitting better.

GBM.train <- gbm(ifelse(train_2$totalyearlycompensation=="Low",0,1) ~.,
                 data=train_2, distribution= "bernoulli",n.trees=250,shrinkage = 0.01,interaction.depth=2,n.minobsinnode = 8)

#xgb_grid = expand.grid(
#  nrounds = c(500,1000),
#  eta = c(0.01, 0.001), # c(0.01,0.05,0.1)
#  max_depth = c(2, 4, 6),
#  gamma = 1,
#  colsample_bytree = c(0.2, 0.4),
#  min_child_weight = c(1,5,
#  subsample = 1
#)

#xgb1 = train(totalyearlycompensation ~ .,  data=train_2,
#             trControl = ctrl,
#             maximize = F,
#             tuneGrid = xgb_grid,
#             preProcess = c("center", "scale"),
#             method = "xgbTree"
#)

#pred3 <- predict(xgb1, #test_2);confusionMatrix(table(test_2[,"totalyearlycompensation"],pred3))

#xgb_imp <- varImp(xgb1, scale = F)
#plot(xgb_imp, scales = list(y = list(cex = .95)))

KNN

K-Nearest Neighbour it uses the proximity to make classifications or predictions of a group of points near a single one. We have to scale the data:

data3 = data_num;
data3$totalyearlycompensation = NULL
data3 = scale(data3)

data3 = cbind(data3, data_num[,"totalyearlycompensation"])
data3 = as.data.frame(data3)
colnames(data3)[9] = 'totalyearlycompensation'
data3[,9] = as.factor(data3[,9])
data3$totalyearlycompensation = factor(ifelse(data2$totalyearlycompensation == QI, "Low", ifelse(data2$totalyearlycompensation >= QS, "High", "Average")))

r.ids  = createDataPartition(data3$totalyearlycompensation, p = 0.5, list = F)
traink = data3[r.ids, ]; temp = data3[-r.ids, ]
v.ids = createDataPartition(temp$totalyearlycompensation, p = 0.5, list = F)
val = temp[v.ids, ]; testk = temp[-v.ids, ]

k1 = knn(traink[ ,1:8], val[ ,1:8], traink[,9], k = 1)
acc = sum(k1 == val$totalyearlycompensation)/length(val$totalyearlycompensation)
confusionMatrix(table(val$totalyearlycompensation, k1))$byClass

##                Sensitivity Specificity Pos Pred Value Neg Pred Value Precision
## Class: Average   0.9591087   0.9178082      0.9731677      0.8783685 0.9731677
## Class: High      0.9241379   0.9618861      0.8854626      0.9754708 0.8854626
## Class: Low       0.0000000   0.9979588      0.0000000      0.9983293 0.0000000
##                   Recall        F1  Prevalence Detection Rate
## Class: Average 0.9591087 0.9660871 0.756576510      0.7256391
## Class: High    0.9241379 0.9043870 0.241756206      0.2234161
## Class: Low     0.0000000       NaN 0.001667284      0.0000000
##                Detection Prevalence Balanced Accuracy
## Class: Average          0.745646536         0.9384585
## Class: High             0.252315672         0.9430120
## Class: Low              0.002037792         0.4989794

We have better parameters, let’s complicate it a little more and make it even better:

k_grid = expand.grid(k = seq(1,59, 2))

for (i in 1:nrow(k_grid)){
  k = knn(traink[ ,1:8], val[ ,1:8], traink[,9], k = k_grid$k[i])
  k_grid$acc[i] = sum(k == val$totalyearlycompensation)/length(val$totalyearlycompensation)
}

plot(x = k_grid$k, y = k_grid$acc, xlab="K- Value",ylab="Accuracy")

The bigger the k value, the lower the accuracy.

The SVM

The Suport Vector Machine it correlates vector in an space of big dimensions

t.ids = createDataPartition(data3$totalyearlycompensation, p = 0.7, list = F)
train_4= data3[t.ids,]
test_4 = data3[-t.ids,]
s1 = svm(totalyearlycompensation~.,data = train_4)
pred.s = predict(s1, test_4)

confusionMatrix(table(test_4$totalyearlycompensation, pred.s))

## Confusion Matrix and Statistics
## 
##          pred.s
##           Average High  Low
##   Average    4810   20    0
##   High         30 1603    0
##   Low          13    0    0
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9903          
##                  95% CI : (0.9876, 0.9925)
##     No Information Rate : 0.7494          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9743          
##                                           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9911      0.9877         NA
## Specificity                  0.9877      0.9938   0.997993
## Pos Pred Value               0.9959      0.9816         NA
## Neg Pred Value               0.9739      0.9959         NA
## Prevalence                   0.7494      0.2506   0.000000
## Detection Rate               0.7427      0.2475   0.000000
## Detection Prevalence         0.7458      0.2522   0.002007
## Balanced Accuracy            0.9894      0.9907         NA

svmlinear = train(totalyearlycompensation ~., data = train_4, method = "svmLinear", trControl = ctrl,  preProcess = c("center","scale"), tuneGrid = expand.grid(C = seq(0, 1, length = 20)))
pred_svmlinear = predict(svmlinear, test_4)

confusionMatrix(table(test_4$totalyearlycompensation, pred_svmlinear))

## Confusion Matrix and Statistics
## 
##          pred_svmlinear
##           Average High  Low
##   Average    4822    8    0
##   High          3 1630    0
##   Low          13    0    0
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9963          
##                  95% CI : (0.9945, 0.9976)
##     No Information Rate : 0.7471          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9902          
##                                           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9967      0.9951         NA
## Specificity                  0.9951      0.9994   0.997993
## Pos Pred Value               0.9983      0.9982         NA
## Neg Pred Value               0.9903      0.9983         NA
## Prevalence                   0.7471      0.2529   0.000000
## Detection Rate               0.7446      0.2517   0.000000
## Detection Prevalence         0.7458      0.2522   0.002007
## Balanced Accuracy            0.9959      0.9972         NA

plot(svmlinear)

Let’s try the radial one instead of the linear:

svmradial = train(totalyearlycompensation ~., data = train_4, method = "svmRadial", trControl = ctrl, preProcess = c("center","scale"), tuneLength = 10)

predictionsvmradial = predict(svmradial, test_4)
confusionMatrix(table(test_4$totalyearlycompensation, predictionsvmradial))

## Confusion Matrix and Statistics
## 
##          predictionsvmradial
##           Average High  Low
##   Average    4818   12    0
##   High         11 1622    0
##   Low          13    0    0
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9944          
##                  95% CI : (0.9923, 0.9961)
##     No Information Rate : 0.7477          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9853          
##                                           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: Average Class: High Class: Low
## Sensitivity                  0.9950      0.9927         NA
## Specificity                  0.9927      0.9977   0.997993
## Pos Pred Value               0.9975      0.9933         NA
## Neg Pred Value               0.9854      0.9975         NA
## Prevalence                   0.7477      0.2523   0.000000
## Detection Rate               0.7440      0.2505   0.000000
## Detection Prevalence         0.7458      0.2522   0.002007
## Balanced Accuracy            0.9938      0.9952         NA

plot(svmradial)

svmradial$bestTune

##     sigma  C
## 7 0.13964 16

Out best sigma is 0.13 aprox. Both SVMs have similar performance but in other cases, it would be better to use the radial one.

Simple Model

test_reg1$totalyearlycompensation = as.numeric(test_reg1$totalyearlycompensation)

msl = lm(formula = totalyearlycompensation ~ bonus, data = train_reg1)
perfsl = predict(msl, newdata=test_reg1)
cor(test_reg1$totalyearlycompensation, perfsl)^2

## [1] 0.301491

0.310922

If we try to make another model, the accuracy does not improve or not signficantly:

msl2 = lm(formula = totalyearlycompensation ~ I(bonus^2), data = train_reg1)
prsl2 = sqrt(predict(msl2, newdata=test_reg1))
cor(test_reg1$totalyearlycompensation, prsl2)^2

## [1] 0.1877448

It changes a bit.

Multivariate model

msm = lm(totalyearlycompensation ~ I(bonus^2) + I(basesalary^2) + I(stockgrantvalue^2), data=train_reg1)
#summary(msm)
prsm = sqrt(predict(msm, newdata=test_reg1))
cor(test_reg1$totalyearlycompensation, prsm)^2

## [1] 0.635497

This one is way better. We selected as predictors, those variables with more correlations in our dataset. We are getting close to our best model, but we are not there yet. Let’s see the RMSE (Root-Mean Square error)

RMSE = sqrt(mean((prsm - test_reg1$totalyearlycompensation)^2))
RMSE

## [1] 250632.6

Using Caret

LM2 = totalyearlycompensation ~ gender*((I(bonus^2) + I(basesalary^2) + I(stockgrantvalue^2) + I(yearsatcompany^2)))/exp(-yearsofexperience)
lm_tuning = train(LM2, data = train_reg1, method = "lm", preProc=c('scale', 'center'),trControl = ctrl)

lm_tuning

## Linear Regression 
## 
## 16195 samples
##     6 predictor
## 
## Pre-processing: scaled (17), centered (17) 
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 12955, 12957, 12956, 12956, 12956 
## Resampling results:
## 
##   RMSE      Rsquared   MAE    
##   67225.37  0.7284313  41526.6
## 
## Tuning parameter 'intercept' was held constant at a value of TRUE

We are going to focus on the Rsquared value, which is the one that is going to tell us how well the model is. Basically it let us know the percentage of the variance that is explained in our variables. Or the relationship between them. In general, the higher the R^2, the better.

test_res = data.frame(totalyearlycompensation = test_reg1$totalyearlycompensation)
test_res$lm = predict(lm_tuning, test_reg1)
postResample(pred = test_res$lm,  obs = test_res$totalyearlycompensation)

##         RMSE     Rsquared          MAE 
## 1.082710e+05 5.035925e-01 4.442097e+04

qplot(test_res$lm, test_res$totalyearlycompensation) + 
  labs(title="Linear Regression", x="Predictions", y="Observations") +
  geom_abline(intercept = 0, slope = 1, colour = "#2a9d8f") +
  theme_bw()

We barely see any noise or misclassifications.

Regression with leap forward.

We are going to use a non-linear model, we suspect R^2 will get worse as the dimension gets higher, but let us see.

forw_tune2 = train(LM2, data = train_reg1, method = "leapForward", tuneGrid = expand.grid(nvmax = 3:8), trControl = ctrl)

forw_tune2

## Linear Regression with Forward Selection 
## 
## 16195 samples
##     6 predictor
## 
## No pre-processing
## Resampling: Cross-Validated (5 fold) 
## Summary of sample sizes: 12957, 12956, 12956, 12956, 12955 
## Resampling results across tuning parameters:
## 
##   nvmax  RMSE      Rsquared   MAE     
##   3      66249.63  0.7206911  41996.31
##   4      66021.19  0.7226635  41814.09
##   5      67646.63  0.7110711  41908.64
##   6      67385.75  0.7132963  41825.02
##   7      67235.21  0.7144734  41718.94
##   8      67460.49  0.7130806  41677.37
## 
## RMSE was used to select the optimal model using the smallest value.
## The final value used for the model was nvmax = 4.

plot(forw_tune2)

coef(forw_tune2$finalModel, forw_tune2$bestTune$nvmax)

##                     (Intercept)                      I(bonus^2) 
##                    1.133636e+05                    2.152692e-06 
##                 I(basesalary^2)            I(stockgrantvalue^2) 
##                    3.191404e-06                    2.707427e-06 
## genderMale:I(stockgrantvalue^2) 
##                   -8.031309e-07

As we can see, this is a pretty much robust model, the R^2s are all in the same range, stable. This gathers valuable information as it seems.

Ridge regression:

The ridge regression model is a model tuning method that is used to analyse any data that suffers from multicollinearity. It performs L2 regularization. Least-squares are unbiased and variances large, which results in the predicted values being far from the actual ones.

grid_hyper = expand.grid(lambda = seq(0, .1, .001))
ridge_1 = train(LM2, data = train_reg1,
                method='ridge',
                preProc=c('scale','center'),
                tuneGrid = grid_hyper,
                trControl=ctrl)

plot(ridge_1)

ridge_1$bestTune

##    lambda
## 14  0.013

test_res$ridge_1 = predict(ridge_1, test_reg1)

postResample(pred = test_res$ridge,  obs = test_res$totalyearlycompensation)

##         RMSE     Rsquared          MAE 
## 1.080708e+05 5.046623e-01 4.449650e+04

Ridge Regression solves the problem of overfitting, as regular regression fails to recognize the less important features and uses all of them, leading to overfitting. It also adds a slight bias, so our result is not the best.

Lasso

The Lasso selects variables for us in order to make our model more exact and interpretable. It uses shrinkage, which is where the data values are shrunk towards a central point, such as the mean. It encourages simple and sparse models (with fewer parameters).

grid_lasso = expand.grid(fraction = seq(.01, 1, length = 100))
lasso_1 = train(LM2, data = train_reg1,
                method='lasso',
                preProc=c('scale','center'),
                tuneGrid = grid_lasso,
                trControl=ctrl)
plot(lasso_1)

lasso_1$bestTune

##    fraction
## 39     0.39

R^2 and RMSE:

test_res$lasso_1 = predict(lasso_1, test_reg1)
postResample(pred = test_res$lasso_1,  obs = test_res$totalyearlycompensation)

##         RMSE     Rsquared          MAE 
## 1.088495e+05 4.944522e-01 4.732827e+04

Elastic Net

The elastic net normalizes the vector of coefficients of the norms L1 and L2. It overcomes the limitations of LASSO which uses a penalty function based on two parameters, alpha and lambda.

grid_elnet = expand.grid(alpha = seq(0, .2, 0.01), lambda = seq(0, .1, 0.01))

elnet_1 = train(LM2, data = train_reg1, method ='glmnet',preProc=c('scale','center'), tuneGrid = grid_elnet ,trControl=ctrl)
elnet_1$bestTune

##    alpha lambda
## 44  0.03    0.1

test_res$elnet_1 = predict(elnet_1, test_reg1)
postResample(pred = test_res$elnet_1,  obs = test_res$totalyearlycompensation)

##         RMSE     Rsquared          MAE 
## 1.081814e+05 5.039165e-01 4.450678e+04

plot(elnet_1)

Basically the same results.

Conclusion:

After all the homework and the supervised learning, I think I got a glimpse of what is regression and and modelling a bit more. This dataset, it seems, is quite linear and easy to predict and to fit into different models. Although I ran into some problems with the type of each variable depending on the model I was trying to work with, giving me unexpected problems but it is part of the fun of working with the data, sometimes you do not know what you are up against. Sometimes a dataset is less complicated than it seems. I think the most important part about this type of project is learning how to interpret your own work, which takes time. It is useless to make a beautiful plot with a lot of variables and really colorful if in reality, you do not know what it means. Sometimes even the smallest and simplest of plots can tell you the most information about the data. So interpreting models, getting to know the difference between regressions, has made me research and improve my skills even if it is the sligthest of changes.